We have one clustering algorithm for clustering numeric data and one for clustering categorical data

Software package will be available at this page once they can be made public.

1. Clustering Numeric Data Based Local Shrinking

R Source Package
JAVA program

Reference:

Wang, X., Qiu, W. and Zamar, R. H. (2006). CLUES: A Non-parametric Clustering Method Based on Local Shrinking. Special Issue on Machine Learning and Robust Data Mining, Computational Statistics and Data Analysis.

2. Clustering Categorical Data using Categorical Distance Vector.

MATLAB program

Reference:

Zhang, P., Wang, X. and Song, P.X. (200X) Clustering Categorical Data Based on Distance Vectors. The Journal of the American Statistical Association. Vol. 101. No. 473, 355-367.