Cluster Distances

In this video, we will continue to discuss the matter of clustering. We will introduce the Hierarchical Clustering algorithm and, for now, execute all the clustering manually. This will help us better understand how Hierarchical Clustering is computed and what visualization methods are preferred for displaying our clustering results.
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 (orangedatamini...).
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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)

[@houtansadeghi]

Well done Noah. Good video.