prototype based clustering
Transfer Prototype-Based Fuzzy Clustering. For data with continuous characteristics the prototype of a cluster is usually a centroid. Pin On Ai Hardware This method uses the prototypes produced from squared error clustering method. . A cluster is a set of objects where each object is closer or more similar to the prototype that characterizes the cluster to the prototype of any other cluster. Finally the robust multi-scale Deep-SVDD hyper sphere model is constructed to achieve online detection of abnormal state data. Allocate each object in X to a cluster whose prototype is the nearest to it. In particular we formulate our approach using Koho-nens Self-Organizing Maps. Classification and clustering are without doubt among the most frequently encountered data analysis tasks. This thesis provides a comprehensive syn-opsis of the main approaches to solve these tasks that are based on point prototypes possibly enhanced by size a