feat(linfa-clustering): add K-Modes clustering algorithm - #455
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Adds the K-Modes clustering algorithm for categorical data (Huang [1997, 1998]) to
linfa-clustering.Features & Implementation
KModesInit::Cao(Cao et al. [2009]): Density and dissimilarity-based initialization (default).KModesInit::Huang(Huang [1998]): Frequency distribution sampling mapped to valid observations.KModesInit::Random: Random sampling without replacement.KModesInit::Precomputed: Precomputed mode matrices.Fit,PredictInplace,Predict, andParamGuard) and genericsTests
-D warnings).Benchmarks
Context
Bench Command Run