Clustering techniques are widely used in many applications. The goal of clustering is to identify patterns or groups of similar objects within a dataset of interest. However, many cluster methods are ...

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 ...

The image is a spatial representation of an object by a physical, chemical or biological property. The ‘property’ practically can be anything which has a value (e.g. intensity of light, the ...