All you need to know on clustering with Factoshiny…

March 11, 2020
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[This article was first published on François Husson, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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The function Factoshiny of the package Factoshiny proposes a complete clustering strategy that allows you:

  • to draw a hierarchical tree and a partition
  • to describe and characterize the clusters by quantitative and categorical variables
  • to consider lots of individuals thanks to the complementarity of Kmeans and clustering algorithms
  • to consider categorical variables or contingency tables

Implementation with R software

See this video and the audio transcription of this video:

CLASSIFFacto

Course videos

Theorectical and practical informations on clustering are available in these 4 course videos (here are the slides and the audio transcription of the courses):

 

clustering1

Introduction

 

 

 

 

Materials

Here is the material used in the videos:

 

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