k-Means Clustering
Channel: Orange Data Mining
Date: 2023-08-21

In this video, we introduce k-Means, a clustering algorithm that won’t eat up all your laptop's computing power, making it, in some cases, a better choice than hierarchical clustering. For this introduction, we used Orange’s Interactive k-means widget found in the Education add-on. With it, we look at how k-Means goes about finding the optimal positions for its centroids. 
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 (https://orangedatamining.com).

SUBSCRIBE to our channel: http://youtube.com/orangedatamining   

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
__

Written by: Blaž Zupan (http://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 (https://www.biolab.si)