K-means vs LPA or LCA PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
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 Nuria Tordera posted on Tuesday, February 25, 2020 - 9:08 am
Could you give me some reference or explain in which cases K-means can be more adequated than LPA and the other way arround?
I found on my data that K-means finds more homogeneus subgroups.
 Bengt O. Muthen posted on Tuesday, February 25, 2020 - 2:49 pm
Have a look at this 2016 article in Psychological Methods and its references:

A Comparison of Latent Class, K-Means, and K-Median Methods for
Clustering Dichotomous Data
Michael J. Brusco
Florida State University
Emilie Shireman and Douglas Steinley
University of Missouri
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