Silhouette (clustering)- Validating Clustering Models- Unsupervised Machine Learning

Reference Link: en.wikipedia.org/wiki/Silhoue....
scikit-learn.org/stable/auto_...
github: github.com/krishnaik06/Silhou...
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[@NashatJumaah]

Thanks for the easy to follow tutorials...Big Love from Iraq

[@arjundev4908]

So to brief about clustering algorithm..

[@DeepGamingAI]

Loved it, very nicely explained :)

[@chintansoni6370]

Thanks Krish. Much better understanding. Really appericiate your efforts to provide knowledge by creating videos.

[@ramendrachaudhary9784]

pretty much simple and pretty much amazing explaination. Thanks Krish

[@matheusgoes640]

Thank you so much for this video! Great explained!👏

[@sihammohamed7480]

Thanks Krish Awesome explanation :)

[@naufalsiregar9662]

I just saw your video, this is great... Thanksss

[@mprasad3661]

Awesome explanation bro

[@kushagrak4903]

Sir i have doubt like , in your example the silhouette value of 2 greater than 4 , so how can we decide whether k = 4 is good than k=2 without implementing any diagram .

[@DineshBabu-gn8cm]

Excellent explanation Krish

[@stevemungai3542]

excellent explanation

[@1potdish271]

Very nice explanation. (y)

[@divyamadhuri126]

That was super helpful. My doubt is that if my clusters are overlapping, what should I interpret? Are my data points poorly clustered?

[@iqbalsaviola6052]

Something that im looking for

[@amitgupta-tb9td]

Sir plss make more validation techniques for unsupervised learning...!

[@rhiothelab5251]

Thanks, Sir for all the content,

[@MrChudhi]

Please can you explain how we can use adjusted RAND score for a K-Means models.

[@prasadshiva3538]

thats great lecture Krish, but what if ,we got k=5 in Silhouette but k=4 in Elbow, how to conclude this the correct k value

[@kamilc9286]

Sir, if you'll run the number of negative_samples k=4 has 1 (not visible on the chart), so k=2 has score 0,74 and 0 -ve and k=4 has score 0,65 and 1 -ve. Only elbow method suggests k=4.