# Articles - Multivariate Analysis

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## Visualizing Dendrograms: Ultimate Guide

As described in previous chapters, a dendrogram is a tree-based representation of a data created using hierarchical clustering methods (Chapter @ref(agglomerative-clustering)). In this article,... [Read more]

## Comparing Dendrograms: Essentials

After showing how to compute hierarchical clustering (Chapter @ref(agglomerative-clustering)), we describe, here, how to compare two dendrograms using the dendextend R package. The... [Read more]

## Agglomerative Clustering Essentials

The agglomerative clustering is the most common type of hierarchical clustering used to group objects in clusters based on their similarity. It’s also known as AGNES (Agglomerative Nesting). The... [Read more]

## K-Medoids Essentials

The k-medoids algorithm is a clustering approach related to k-means clustering (chapter @ref(kmeans-clustering)) for partitioning a data set into k groups or clusters. In k-medoids clustering,... [Read more]

## K-Means Clustering Essentials

K-means clustering (MacQueen 1967) is the most commonly used unsupervised machine learning algorithm for partitioning a given data set into a set of k groups (i.e. k clusters), where k represents... [Read more]

## Clustering Distance Measures Essentials

By , The in Clustering Basics
The classification of observations into groups requires some methods for computing the distance or the (dis)similarity between each pair of observations. The result of this computation is known... [Read more]

## HCPC Using FactoMineR: Video

This page presents series of course videos on clustering methods for analyzing multivariate data. The main objective is either (i) to identify groups of individuals with a similar profile,... [Read more]

## MFA in R Using FactoMineR: Quick Scripts and Videos

In this article, you’ll learn how MFA (Multiple Factor Analysis) works, as well as, how to easily compute and interpret MFA in R using the FactoMineR package. Recall that MFA is a multivariate... [Read more]

## FAMD in R Using FactoMineR: Quick Scripts and Videos

Factor analysis of mixed data (FAMD) is dedicated to analyze a data set containing both categorical and continuous variables. This article provides a quick start R code and video showing a... [Read more]

## MCA in R Using FactoMineR: Quick Scripts and Videos

This article presents quick start R code and video series for computing MCA (Multiple Correspondence Analysis) in R, using the FactoMineR package. Recall that MCA is used for analyzing... [Read more]

## CA in R Using FactoMineR: Quick Scripts and Videos

This page shows quick start R code to compute correspondence analysis- CA in R using the FactoMineR package. Additionaly, we present series of course videos on correspondence analysis, which is a... [Read more]

## PCA in R Using FactoMineR: Quick Scripts and Videos

This article starts by providing a quick start R code for computing PCA in R, using the FactoMineR, and continues by presenting series of PCA video courses (by François Husson). Recall that PCA... [Read more]