All you need to know on clustering with Factoshiny…

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:

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):

 

Introduction

 

The partitioning method K-means

 

 

 

Characterizing clusters

Materials

Here is the material used in the videos:

• Temperature data: the data set  –  Rmarkdown – the script with the outputs
• Decathlon data: the data set – Rmarkdown – the script with the outputs