Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...

Clustering algorithms are used in various applications, including the clustering of genes by expression profiles. Clustering algorithms find clusters, and these are often visually satisfying. However, ...