Until the development of ClustEval, cluster analyses were mostly carried out manually without guidelines or standardized procedures for dealing with the many factors of cluster analyses. Consequently, ...

Enterprise application (EA) architects often face challenges in designing scalable applications that can accommodate a growing number of users and provide 24/7 availability. In this article, I'll ...

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 ...

Professor Xiaochu Yu from Peking Union Medical College Hospital and Professor Jingmei Jiang from the School of Basic Medicine, Peking Union Medical College recently published their research results in ...

Data clustering is the process of placing data items into different groups (clusters) in such a way that items in a particular group are similar to each other and items in different groups are ...