amjams/mixed_kmeans

Version 1.0.0.0 (28.2 KB) by AJ
Kmeans algorithm for mixed features (continuous and categorical)
299 Downloads
Updated 16 Jul 2016

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 (2025). amjams/mixed_kmeans (https://github.com/amjams/mixed_kmeans), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Statistics and Machine Learning Toolbox in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versions that use the GitHub default branch cannot be downloaded

Version Published Release Notes
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.