DBSCAN Clustering Algorithm Solved Numerical Example in Machine Learning Data Mining Mahesh Huddar

[@WojciechBrzoska-w2s]

Perfect one! Without any theory explanation. Majority of us (i mean people who are looking for such an example) are familiar with theory but it is hard to find direct implementetion of it.

[@MaheshHuddar]

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[@ashishkumar-c3d6m]

usually I don't comment even on good channels but your way of delivering the content is really good, the way I like: No repetition of words, maintaining a steady flow, no use of touch words, no use of filler words.(usually other KZbinrs do this trick to increase the length of the video for engaging the audience for longer time which build a habit of coming back to the channel for more content).

[@MaheshHuddar]

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[@praneshchow]

Nice slide and explanation. You just easily overview the topic within 11 minutes. Thanks ❤

[@MaheshHuddar]

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[@hoyintam1702]

Great video with a nice example, detailed calculation and clear explanation!

[@MaheshHuddar]

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[@sankar2885]

யாரு சார்?நீங்க...ஏழேழு ஜென்மம் நீங்க நல்லாருக்கனும் சார்❤

[@sarayu915]

tomrw is my exam thank you sirr well explained my professor took hours to explain this 😄😄

[@MaheshHuddar]

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[@meowzerilla]

amazing channel with exceptional explanation. always look for your videos when im searching a topic on youtube

[@MaheshHuddar]

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[@sleepdeprived1266]

That was awesome explanation. Just a question, from what i understand once a point has been assigned to a cluster you cannot reassign it to the next one so i believe in 10:18 you should just keep 10 and 12 in seperate cluster and not mix with 11 and 2 which already belong to a cluster

[@bramsetyadji2881]

Thank you very much!!! It is very clear and concise explanation

[@MaheshHuddar]

You are welcome! Do like share and subscribe

[@aderahmatiskandar33]

Thank you very much, it's really interesting and understood easily for your exolanation about DBScan with the real case

[@MaheshHuddar]

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[@radwataher6056]

very good explanation and slides, Thanks

[@MaheshHuddar]

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[@theatregare2157]

You are the man bro, amazing job

[@MaheshHuddar]

Glad it helped Do like share and subscribe

[@nithinvasamsetti]

You are blowing my brain ❤❤❤ amazing explanation

[@MaheshHuddar]

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[@SAIRUI_Hydraulic]

Great Teaching. Thank you

[@MaheshHuddar]

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[@aniruddhsingh5280]

Excellent explanation sir !!

[@MaheshHuddar]

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[@arunkumarias5372]

Thank you so much sir❤

[@MaheshHuddar]

Most welcome Do like share and subscribe

[@aenasaluja5128]

amazinggggggggggggggggggggg thankyou sir

[@jeodezman32]

Excellent explanation, thank you so much!

[@MaheshHuddar]

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[@usmanyousaaf]

Well explained 👍

[@MaheshHuddar]

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[@VANDANAMEHNDIRATTASCHOOLOFSCIE]

This explanation is very good. I have seen other videos too. Just one suggestion please dont use "particular" in every line that to twice or thrice. It sometime breaks the flow of listening and too irritating.

[@MaheshHuddar]

Ok

[@ruysilva298]

Thank you a lot.

[@MaheshHuddar]

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[@sowjanyanaga839]

Super explanation sir

[@MaheshHuddar]

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[@AbhishekTiwari-hw9kw]

Thank you sir

[@MaheshHuddar]

Welcome Please do like share and subscribe

[@SreejaBollam]

Can u explain graph how to draw it such as points

[@mayi344]

the points given in the question were plotted you can find here : 0:10

[@giriprasad5221]

Great explanation sir

[@MaheshHuddar]

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[@dark__cherry5307]

❤

[@harisubedi3235]

ammamaa bhagwan ho mero lagi yo sir :)

[@satyaswarupa6839]

sir could you please explain that......... how would you plot the graph points

[@skarthikeya5285]

from 0:10 ro 0:40 the points shown numerically here are just plotted on graph

[@jimintata5091]

​@@skarthikeya5285 u cleared my doubt TQ

[@ironman5255]

Tq

[@Manjith-1887]

​@@skarthikeya5285Tq

[@suriya4250]

If the minpts and e is not given what can we do sir. can we determine with heuristic method

[@shk_innovates]

if two clusters merge together, do they become a single cluster or remain different clusters??

[@realpg4643]

amazing sir🤩

[@MaheshHuddar]

Thanks a lot 😊 Do like share and subscribe

[@rohannaidubadarla280]

A small doubt, now the point 11 belongs to which cluster??

[@suryaprasadsahoo9617]

👍

[@MaheshHuddar]

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[@sravansunkara]

Thank you so much!

[@MaheshHuddar]

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[@lohotbrijesh]

thank you

[@MaheshHuddar]

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[@fintech1378]

excellent lesson, i will have an exam in a few days where I cannot code, where can I find similar practice questions?

[@MaheshHuddar]

Numerical examples..?

[@fintech1378]

@@MaheshHuddar yes, both supervised and unsupervised, not in python

[@Lost_User888]

Sir, graph me centre points 2,5,11 or inke nearest points ki plotting randomly kri hai????

[@bang-n6k]

no, it is done according to the coordinates data given in the question. Like - P1:(3,7), P5:(7,3)

[@NIKHILSHARMA-q6s9z]

what to do if the distance is equal to epsilon?

[@kushagramishra9257]

can the clusters overlap ?

[@BILLARAMPRASADREDD]

sir in another video u say that we have to consider value greater than threashlod value but in this video u are saying that we have to consider value less than threashold could u please give me clarity about this ASAP

[@MaheshHuddar]

In first example we calculated the distance, there we need to select the minimum distance In second example we have used similarity Matrix, hence we need to use highest similarity value

[@younus.athlete]

Sir ye slides aapkp kha sey milee, cause ye same slided hamari ma'am bhe copy ki hain. can you please tell me

[@tharunganesh98]

But here point 2 and 11 belongs to two different clusters? how can we explain that?

[@ChodagiriYugandhar]

👏👏👏

[@MaheshHuddar]

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[@Nikhil.Rebelling]

Sir can we use Manhattan distance formula ?

[@MaheshHuddar]

Yes You can use any distance metric

[@Nikhil.Rebelling]

@@MaheshHuddar Thank You Sir For Your Quick Response !!

[@deepaksonawane2501]

How to form clusters for points with more than two coordinates?

[@tmjackff7809]

CLARANS

[@sapavathprasannakumari]

Please provide the pdf

[@deekshaPatima]

How the graph is pointed can anyone explain

[@donivanka]

First all given points (x-axis,y-axis) in the question were plotted on graph. Then clustered according to the core points

[@rajeevlochanmedisetti5664]

Can we use manhattan formula insted of euclidean

[@MaheshHuddar]

Yes you can use any distance metric

[@PavanPavan-c2p]

🙏🏼🫡

[@TienTran-ni5vn]

may I have your file ppt of this video?

[@minatharu512]

Thank you so much sir❤🙏

[@MaheshHuddar]

Welcome Do like share and subscribe

[@hitendusseja6615]

Thank you

[@shalabhagarwal]

Thank you so much!

[@MaheshHuddar]

Welcome Do like share and subscribe