Flat and Hierarchical Clustering | The Dendrogram Explained

[@365DataScience]

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[@botanyresearchsolutions4849]

here is very easy method for dendrogram/ cluster analysis kzbin.info/www/bejne/jIKXaX2tbpqKfJY

[@arijitbiswas6478]

Thank you so much for explaining in a simple way. From India.

[@blaknite16523]

Super helpful. Just learned about these in my Marketing Strategy class and I was super confused till I saw this :D

[@yvonnemadegwa967]

Thanks, finally i understand how the Dendrogram works

[@365DataScience]

That's awesome!! Happy to help 🤖

[@icy-spoon85]

8:00 Surprisingly abrupt ending. Highly entertaining. Subbed

[@AlOwen-m1m]

This video is amazing. It explains the different stages and initial theory so easily.

[@lourdessuarezvillasmil]

Excellent video. Thank you very much.

[@artingh]

I found this video not only interesting but also perfect😀

[@smushti]

Dendrogram well explained !!

[@emmablassel843]

Thanks for your video. It is funny that I hear more about cats and dogs whenever I listen to a machine learning lecture :)

[@soundoussabdellatif5055]

Great explanation

[@cjoyceheart]

1:31 Types of Hierarchical Clustering: Agglomerative (bottom-up), Divisive (top-down)

[@GeraldLivingstone-k1l]

Great presentation very clear and concise, thanks taught me what three hours of class did not! Great but sad.

[@365DataScience]

Thanks so much!! We pride ourselves in creating content that is easy to understand and straight to the point.

[@sakshaykumar4885]

Great Job Guys.. Very amazingly explained.. It was short and interesting.

[@RobertWei-p1l]

this video is so nice！

[@anamarijavasic9863]

Really great video, thank you!

[@claudiatroglia60]

Amazing video! Thank you!

[@365DataScience]

Glad you liked it!

[@Sofija-Z]

amazing job, you guys, thanks so much!

[@saipavan5194]

Good excellent explanation even it is old but it is in right way manner like professional and thanks for making this video

[@BackpackerSaiful]

Nice explanation.

[@shadrackkibet6767]

Nice video. Easy to understand.

[@rushMM]

I'm subscribed to the 365DS program. What course is this lesson in?

[@rawann2313]

Thank you! That was very useful

[@cerenboruban2845]

thnx for sharing, really useful video!

[@bombi012]

Thanks! So helpful!!

[@stereohearts970]

Thank you, sir!

[@galacticsurf979]

Great explanation! Thanks so much.

[@thom8303]

Spoken with great inflections!! love those inflections haha

[@zeynepe.5587]

Thank you!

[@TWGTravelwithGandharv]

GREAT VIDEO!!!

[@benjaminmusasizi3777]

Thanks so much!!!! Great insight

[@Gaane_kobitay_adday_uma]

Amazing video....!👍👍❤️❤️

[@guinmau]

It's an easy-to-understand video. I like it.

[@365DataScience]

Glad you found it helpful! :)

[@SourovDattacse]

Thanks for your nice tutorial. Can we interpret that.: Germany / UK are equally distance from Canada ?

[@WickedGamerStyle]

Nice video but as said before would be nice to add some math such as euclidean distance

[@botanyresearchsolutions4849]

kzbin.info/www/bejne/jIKXaX2tbpqKfJY

[@namseoker6690]

Great!

[@fajerboeid2130]

شكرًا

[@RanjitSingh-tu3wi]

Excellent

[@ryanzkp]

ur the best

[@nchekwubelazson1396]

it is interesting

[@nayivassaf]

but what the distances mean? is it a percentage or proportion?

[@farshidjamali]

Good explanation. Add some math and code

[@365DataScience]

Thank you! We're happy you enjoyed it!

[@lazybert1]

so you said K-means is a flat method, but at the same time it can be used for divisive hierarchical clustering?? could someone clarify??

[@florianbecker4698]

Yes please. I would like that too...

[@robbiedeegan3121]

wow, that is a massive con!!

[@Listen_relax_sleep]

The subtitle was a bad idea in this video.

[@valdrinrama8087]

you didnt explain nothing ! how to make a dandiogram with numbers as example !

[@Feirgheim]

I hate this class...