Flexible Clustering of Ordinal and Mixed-with-Ordinal Data
Centroid Functions for K-Centroids Clustering of (Ordinal) Categorical...
Distance Functions for K-Centroids Clustering of (Ordinal) Categorical...
FlexMix Driver for Regularized Beta-Binomial Mixtures
FlexMix Driver for Regularized Binomial Mixtures
FlexMix Driver for Regularized Multinomial Mixtures
Data-Driven Default Parameters for Regularized Normal Mixtures
FlexMix Driver for Regularized Multivariate Normal Mixtures
Extending K-Centroids Clustering to (Mixed-with-)Ordinal Data
Extends the capabilities for flexible partitioning and model-based clustering available in the packages 'flexclust' and 'flexmix' to handle ordinal and mixed-with-ordinal data types via new distance, centroid and driver functions that make various assumptions regarding ordinality. Using them within the flex-scheme allows for easy comparisons across methods.