On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors
Yasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto · 2009
In recent years, data from many natural and social phenomena are accumulated into huge databases in the world wide network of computers. Thus, advanced data analysis techniques to get valuable knowledge from data using computing power of today are required. Clustering is one of the unsupervised classification technique of the data analysis and both of hard and fuzzy c-means clusterings are the most typical technique of clustering.