Hello everyone. Anyexperience working with MCA(Multiple correspondence analysis) combined with PCA (principal component analysis) for clustering?

Adolfo Pérez-García @Adolfo-Perez-Garcia

07 October 2024 1 879 Report

I have a complex data collection that has both continuous and categorical data, and trying to cluster them into 2 outcomes. I am thinking the best method to reduce dimensions and then use a clustering method is to combine MCA and PCA. Has anyone used this before? What are your thoughts? Thankls in advance

Subhajit Mahanty

Yes. I have worked in PCA and MCA. PCA is generally used to reduce the multidimensionality of the data with continuous variables where as MCA will be good for your categorical data to make clusters. I prefer SPSS for data analysis. If you are ok with that I may help you to analyse your data set. Kindly share me the details in [email protected]

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