amjams/mixed_kmeans
Kmeans algorithm for mixed features (continuous and categorical)
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The mixed_kmeans package is a MATLAB implementation of the mixed kmeans algorithms proposed by:
Ahmad, Amir, and Lipika Dey. "A k-mean clustering algorithm for mixed numeric and categorical data." Data & Knowledge Engineering 63.2 (2007): 503-527.
It can be used to for clustering porblems which include categorical inputs, numerical (continuous) inputs, or a mix of both. The user is referred to the original publication for details regarding the algorithm.
Cite As
AJ (2026). amjams/mixed_kmeans (https://github.com/amjams/mixed_kmeans), GitHub. Retrieved .
Acknowledgements
Inspired: Mixed K-means Clustering Algorithm with Variable Discretization
General Information
- Version 1.0.0.0 (28.2 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
