Silhouette Score, Inliers, and Outliers

In this video, we tackle the basics of silhouette scores. The silhouette score reports on how central a data point is to its own cluster. We can use silhouette scoring to find inliers and outliers. We begin with a two dimensional example, draw the data, compute the silhouettes and plot them in the Silhouette Plot.
This video is a part of Introduction to Data Science video series that dives into machine learning, visual analytics, and joys of interactive data analysis using Orange Data Mining software (orangedatamining.com).
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The development of this video series was supported by grants from the Slovenian Research Agency (including P2-0209, V2-2274, and L2-3170), Slovenia Ministry of Digital Transformation, European Union (including xAIM and ARISA) and Google.org/Tides foundation.
#machinelearning #orange #visualanalytics #datamining
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Written by: Blaž Zupan (biolab.si/blaz)
Presented by: Noah Novšak
Production and edit: Lara Zupan
Intro/outro: Agnieszka Rovšnik
Music by: Damjan Jović - Dravlje Rec
Orange is developed by Biolab at University of Ljubljana (www.biolab.si)

[@mohsala5498]

great video bro, I got more comprehension to silhouette coefficient now👍

[@dedoyxp]

how to do IQR to whole dataset on Orange?

[@nohaivce]

very understandable, thanks!

[@vivektanwar628]

thanks, brother

[@AHDD142]

thx