K Means Clustering Algorithm | K Means Example in Python | Machine Learning Algorithms | Edureka

🔥 Python Training for Data Science (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): www.edureka.co/data-science-p...
This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: goo.gl/fe7ykh ) series presents another video on "K-Means Clustering Algorithm". Within the video you will learn the concepts of K-Means clustering and its implementation using python. Below are the topics covered in today's session:
1. What is Clustering?
2. Types of Clustering
3. What is K-Means Clustering?
4. How does a K-Means Algorithm works?
5. K-Means Clustering Using Python
Machine Learning Tutorial Playlist: goo.gl/UxjTxm
Subscribe to our channel to get video updates. Hit the subscribe button above.
PG in Artificial Intelligence and Machine Learning with NIT Warangal : www.edureka.co/post-graduate/...
Post Graduate Certification in Data Science with IIT Guwahati - www.edureka.co/post-graduate/...
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)
How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - - - - -
About the Course
Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:
1. Programmatically download and analyze data
2. Learn techniques to deal with different types of data - ordinal, categorical, encoding
3. Learn data visualization
4. Using I python notebooks, master the art of presenting step by step data analysis
5. Gain insight into the 'Roles' played by a Machine Learning Engineer
6. Describe Machine Learning
7. Work with real-time data
8. Learn tools and techniques for predictive modeling
9. Discuss Machine Learning algorithms and their implementation
10. Validate Machine Learning algorithms
11. Explain Time Series and its related concepts
12. Perform Text Mining and Sentimental analysis
13. Gain expertise to handle business in future, living the present
- - - - - - - - - - - - - - - - - - -
Why learn Python?
Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
For more information, Please write back to us at [e-mail] or call us at IND: 9606058406 / US: 18338555775 (toll free).
Instagram: / edureka_learning
Facebook: / edurekain
Twitter: / edurekain
LinkedIn: / edureka
Customer Review
Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: "I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the "customer of Edureka!". Instructors are knowledge... able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring - All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working."

[@edurekaIN]

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Machine Learning Course curriculum, Visit our Website: hbit.ly/2OpzQWw

[@ilovenatureiloveculture5776]

Thank you! I have been studied in a business intelligence program for two months. I have a assignment on SPSS k means cluster assignment. To understand the topic better, I want to watch a video first to get some general idea. It is so great that I can find this video and all the other videos in your channel. Although I am new in BI and data science, I have decided that I will do modeling and AI in future. All of your videos are so great! They can help me to build a solid foundation in modeling and AI for my future carrier!

[@yashvishnoi4720]

Everything was touched clearly and it was well mentioned through out the session.

[@nasiksami2351]

Comprehensive and to the point explanation. Kudos!

[@luishumbertoninoalvarez2287]

Thanks, great explanation!!!

[@pravalikatirunagari3632]

hey the video is good..!! would like to know how to implement it for custom data. How do we prepare the graph for the custom dataset and perform clustering?

[@ashwinishewale7451]

Very very helpful.... Thank u sir...

[@srinunalabolu6830]

Ur doing a great job for u brother. All my well wishes to u. Plz post gd videos of data science

[@subhadipml]

Thank you @AtulSir #Edureka ... My best free learning KZbin channel.

[@anshukumari6616]

Great explanation! Thank you very much!

[@ranhill4315]

Thanks for a very good pictorial explanation! Straight to the point and clear! And immense respect for the guy who developed this algorithm.

[@edurekaIN]

We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

[@blz1rorudon]

Brilliant! Amazing explanation! Keep it up, man!

[@fujiwaratakumi3250]

Thanks for the lesson, you explained it better than my univ's professor

[@edurekaIN]

Thank you for appreciating our efforts. Do subscribe to our channel and stay connected with us. Cheers :)

[@ethan612]

Thank you! Great tutorial!!!

[@JonyWalkerAMV]

Great video, gonna share this! I also would like the code and data, please?

[@abdulrubbinmohsin6111]

thank you explanation is awesome .

[@shampymansha4906]

Very nice and easy to understand explanation. Thanks

[@pAfzalTariq]

got it. thanks

[@greentechkey]

Great Explanation of K-means.

[@arturmostowiak9427]

So far the best explanation of this issue

[@nag7432]

nice one! best explanation so far

[@shubhamagarwal5566]

Great work! You are doing a wonderful job, please continue uploading such brilliant videos :)

[@pawankatwe8985]

Thanks that was amazing explanation

[@seethasuri]

Very nice session.. very well explained

[@a3i3m1an]

Thank you! This is so helpful, esp the coding bit!

[@edurekaIN]

You're welcome 😊 Glad it was helpful!!

[@rwagataraka]

Edureka is doing great and things get best materialized while doing well chosen industry-based assignments given in its courses!

[@edurekaIN]

Thanks a lot.

[@user-tu3ts1gl6c]

Very informative video as always! I was wondering whether you have the same but with exponential support vector machines instead? Thanks a lot!!!

[@edurekaIN]

Keep watching :) We are glad to be a part of your learning journey. Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

[@pramodkumargupta1824]

Nice video and content.

[@harshavardhana80]

Awesome 👌 I love 💘 this

[@SwapnilPatil-db6wd]

gor clear with the actual concept but still i have problems regarding code

[@somashekharreadsforyou2064]

Great Video.....

[@pritomdas6215]

good visualization

[@scientistnayim3571]

Thanks for the great explanation. Can you please share the data and the code?

[@edurekaIN]

Please mention your email id (it will not be published). We will forward the code and dataset to your email address.

[@soumodeepsen3448]

why that * is used before centroids in the for loop in the initialization part?

[@niveditha-7555]

Indians always comeup with top notch explanations.

[@tapanjeetroy8266]

Thanks sir

[@nishasataki]

Easily understandable...

[@edurekaIN]

Thanks for the compliment Nisha . We are glad, our video helped you.Stay tuned with us on this channel for future updates.

[@saravanaayyappa4049]

Hi, how do we choose the distant metrics like manhattan, eucladean and minkowski distance. what are the main things to look for?

[@edurekaIN]

Hey Saravana, There is no clear-cut answer for this. If you want your distance to reflect "absolute magnitude" then use Manhattan and Euclidean

[@samithaduthika2444]

thank you

[@balavkrish]

Good lecture

[@sejalanand23]

Could you pls explain in the simplest language, the difference between fit() and fit_transform().

[@edurekaIN]

"fit" computes the mean and std to be used for later scaling (just a computation), nothing is given to you. "transform" uses a previously computed mean and std to autoscale the data (subtract mean from all values and then divide it by std). "fit_transform" does both at the same time. Hope that helps!

[@neekhilprasad4717]

I love the way he says 'alright' in his lessons ❣

[@programmersworld4464]

It was a enthusiastic till the end to watch the video. Can i have the source code of it?

[@edurekaIN]

Hi Harish! Thanks for the compliment. Please share your email id with us (it will not be published). We will forward you the source code to your email address.

[@asthasona8803]

Thank you 😊

[@rishabhtyagi9037]

Simple and easy explanation. Can you please share the code. Thank You

[@edurekaIN]

Good to know our contents and videos are helping you learn better . We are glad to have you with us ! Please share your mail id to send the data sheets to help you learn better :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

[@38-shivkumarpandit13]

the content is superb ...... can you please share the ppt

[@edurekaIN]

Good to know your learning with edureka :) please share your mail id to share the data sheet! We'll Update you soon !

[@ankitmahna6296]

can i get the codes?

[@chandrajyothibojjapu2409]

Thank you so much sir

[@edurekaIN]

Most welcome

[@ashulohar8948]

Please make an end to end projects of all algorithm in data science

[@edurekaIN]

Thanks for showing interest in Edureka kindly visit the channel for more videos our content creators are eagerly waiting for your suggestion to make new videos on your interest :) DO subscribe for the video update

[@arriyantoarriy47]

thankyou so muchhhhhh

[@user-nh2ls5xx9w]

Great job. can you please share the code? Thanks

[@edurekaIN]

Hi, kindly drop in your email id to help us assist you with the required source codes. Cheers :)

[@adedamolapelumi5774]

Great lecture! Can you please share the code?

[@edurekaIN]

Please share your email id with us (it will not be published). We will forward the code to your email address.

[@pravdexter]

Good explanation! please share the code

[@edurekaIN]

Thanks for the compliment! Please share your email id with us (it will not be published). We will forward the source code to your email address.

[@shivangimishra9723]

pls share the link of jupyter/colab notebook also.

[@FarukShaikh12]

I dont understand about the step 5, why are you calculating the mean ? can you please suggest :)

[@anishchar4282]

Thanks 🙏🏻

[@edurekaIN]

You’re welcome 😊

[@kimbreldias924]

Thanks for the great explanation, I just had one question. If I have a dataset with 3 classes, then should I choose k=3? or is it irrespective of the classes?

[@edurekaIN]

You can use either of the following methods to get the value of k: The Elbow Method The Silhouette Method

[@astritBA]

Hej Awesome tutorial can you send me code and dataset?

[@edurekaIN]

Hey, Please share your email id with us (it will not be published). We will forward you the source code and the dataset to your email address.

[@poojamishra7682]

Wonderful session

[@aiswarya3461]

can u mail me the code and dataset ?

[@pranjalgupta9427]

What is the difference between k nearest neighbours and k means clustering

[@edurekaIN]

K-NN is Supervised machine learning while K-means is unsupervised machine learning. K-NN is a classification or regression machine learning algorithm while K-means is a clustering machine learning algorithm. Hope that helps!

[@renugas3162]

How to find accuracy of this algorithm

[@dhanyaathreya1393]

It's funny how most KZbin channels teach way better than people from thr most prestigious institutions

[@premalathat7874]

What is the value of SSE if number of data points and cluster are equal?

[@edurekaIN]

If all cases within a cluster are identical, the SSE would then be equal to 0.

[@fridahkarimi7110]

Good explanation ,, kindly may i get the code

[@edurekaIN]

Hi Fridah, kindly drop in your email id to help us assist you with the required source codes :)

[@pushkarp7832]

If we have two clusters one for true and one for false then how do we know which cluster is of true and which one is for false because k means just gives output 0 and 1 as cluster number

[@edurekaIN]

Hey Pushkar, You will be polling that particular node to check for the characteristics. Happy learning!

[@shambavikp7407]

I am not getting the output for assignment phase. can u please help me out?

[@edurekaIN]

Hey Shambavi, Can you please elaborate on the issue more so that we can help you out?

[@rasikakulkarni6685]

Will you pls share the code which you have explained here

[@edurekaIN]

Hi ! Good to know that our videos are helping you to learn better :) Please share your mail id to share the data sheets :)We’ll update you soon . Do subscribe the channel for more updates : )

[@luvkushsharma1586]

From where I can get the PPT used in this lecture

[@edurekaIN]

Thanks for showing interest in Edureka! Kindly share your mail id for us to share the datasheet/ source code :) Do subscribe for more videos & updates

[@vaitheekanallasamy6363]

Can you kindly share the code?

[@saniaazhmeebhuiyan2693]

yeSSS AlrighTTT!!

[@laraibamjad4049]

Hi! Can you pls share the code?

[@edurekaIN]

Please share your email id with us (it will not be published). We will forward the code to your email address.

[@harshbiyani3048]

Who is the presenter?

[@edurekaIN]

Hey Harsha, our instructors are industry experts working in the industry on that particular technology. This is how we make sure that our training module is relevant to the industry requirements. You can check out our courses and the batches here: www.edureka.co/all-courses Hope this helps :)

[@oluwaseyiakinwande1248]

Can you share the code? Thanks!

[@edurekaIN]

Please mention your email id (it will not be published). We will forward the code to your email address.

[@shunlin4270]

Hi, I got error like:'['distance_from_1', 'distance_from_2']' is an invalid key, does anyone knows why?

[@edurekaIN]

You are probably trying to access directly as array. Using iloc/loc will resolve the issue.

[@rohan_fitness2046]

can i get dataset

[@edurekaIN]

Hey Rohan, surely you can. Just mention your email id over here(we won't publish it) so that we can mail the files to you. Cheers!

[@TheTedyoo]

Can I get this tutorial code?

[@edurekaIN]

Hi great to hear from you :) please share your mail id ! so that we can share the data sheet with you :)Do subscribe the channel for more updates : )

[@charlesglah5267]

can you share the code and data?

[@edurekaIN]

Hi, Please mention your email id (it will not be published). We will forward the code and dataset to your email address.

[@dwijsharma779]

Can i please get the codes and program file

[@edurekaIN]

Please share your email id with us (it will not be published). We will forward the code to your email address.

[@smubeenabegum2827]

Can I get those files?

[@edurekaIN]

Hey Mubeena, please do mention your email ID over here and we will send the files to you. Cheers!

[@adeelhashmi9773]

Where I found this code

[@edurekaIN]

Hi please share your mail id to share the data sheet :) We'll Update you soon ! Do Subscribe the channel to keep updated

[@RaviYadav-rb8ne]

Could you pls provide me code and data set for hands on

[@edurekaIN]

Hi Ravi, we will definitely share the codes. Please provide your email id and we will share it to you, cheers :)

[@mytalent2301]

Can you please provide me the ppt!

[@edurekaIN]

We are glad to have learners like you. Please do share your mail id so that we can send the notes or source codes. Do subscribe our channel and hit that bell icon to never miss an video from our channel

[@nadabu.274]

Can you share code? thank you

[@edurekaIN]

Please share your email id with us (it will not be published). We will forward the source code to your email address.

[@muhammadyanuar7382]

pardon, can I get those code?

[@edurekaIN]

Hi Yanuar, kindly drop in your email id to help us assist you with the required source codes. Cheers :)

[@aizanadeem4690]

Can I have the source code of it?

[@edurekaIN]

Please share your email id with us (it will not be published). We will forward the code to your email address.

[@ayoubrachid82]

Please i need the code ?

[@edurekaIN]

Please mention your email id (it will not be published). We will forward the code to your email address.

[@jobaidulalam7410]

Can you share the code?

[@edurekaIN]

Please share your email id with us (it will not be published). We will forward the code to your email address.

[@muhammadrizky7075]

hello, may i get the code ?

[@edurekaIN]

Please share your email id with us (it will not be published). We will forward the code to your email address.

[@shailyagandhi9453]

Can you share the code, please?

[@edurekaIN]

Glad you liked it ! We are glad to have learners like you .Drop your mail id in the comment section for us to share the data sheets or source codes :) Do subscribe our channel and hit that bell icon to never miss an video from our channel .

[@aveshnarainpersath5436]

Hi can i please have the code

[@edurekaIN]

Please share your email id with us (it will not be published). We will forward the source code to your email address.

[@moushannaznin3166]

can you give your source code?

[@edurekaIN]

Please share your email id with us (it will not be published). We will forward the source code to your email address.

[@saipriyaalampally8889]

Can I get the code ?

[@edurekaIN]

Hi Saipriya, kindly drop in your email id to help us assist you with the required source codes. Cheers :)

[@TravellingTuber]

canyon share the code file ? please

[@edurekaIN]

Glad you liked it ! We are glad to have learners like you .Drop your mail id in the comment section for us to share the data sheets or source codes :) Do subscribe our channel and hit that bell icon to never miss an video from our channel .

[@mohsinrasheed7645]

please share code

[@edurekaIN]

Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

[@jalaluddin9484]

[@shafiaafin8945]

can I get the code?

[@edurekaIN]

Hey Shafia, glad you loved the video. Please mention your email ID and we will send the files to you. Cheers!

[@haiyingn]

can you email me the code and data ? Cheers.

[@edurekaIN]

Hey haiyingn, we hope you liked the video. Please do mention your email ID over here and we will send the files to you. Cheers!

[@mohammedmustapha7932]

Thanks for the great explanation. Can you please share the data and the code?

[@edurekaIN]

Thanks for the appreciation. Please share your email id with us (it will not be published). We will forward the source code to your email address.

[@annussabdullah2565]

Thank you sir