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 data is the process of grouping items so that items in a group (cluster) are similar and items in different groups are dissimilar. After data has been clustered, the results can be analyzed ...

Partitioning biological data objects into clusters, such that the objects within the clusters are more similar to each other than to objects from different clusters, is a long-standing challenge in ...