I've run a multiple correspondance analysis in R using FactoMineR to reduce my variables, and I'd like to use the reduced dimensions to run a KMeans cluster analysis on the individuals.
Which dimension scores do I use for the 'object scores' for clustering?
Clustering is one of the important data mining methods for discovering knowledge in multivariate data sets. The goal is to identify groups (i.e. clusters) of similar objects within a data set of interest. To learn more about clustering, you can read our book entitled “Practical Guide to Cluster Analysis in R” (https://goo.gl/DmJ5y5).
Briefly, the two most common clustering strategies are:
The HCPC (Hierarchical Clustering on Principal Components) approach allows us to combine the three standard methods used in multivariate data analyses (Husson, Josse, and J. 2010):
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