Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...

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 ...

uCLUST – A New Algorithm for Clustering Unstructured Data Data that resides in a fixed field within a record or file is called structured data and have a defined schema. Unstructured data refers to ...