Clustering in Higher Dimensions

Still staying with clustering, in this video, we look at how it works in higher dimensions. Using the same data set, we realize that data explanation for clusters might benefit from some other visualization method.
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)

[@Enrique_Santos_Jara]

Finally, I could understand clusters and, by the way, the use of Orange for that. This video, and the former ones, are so friendly and useful. Thank you so much!

[@ajnbin]

The tool is fantastic, I use it a lot to rapidly understand the intuition behind IA/ML concepts without the hassle of doing things manually.