TY - JOUR
T1 - A maximizing model of bezdek-like spherical fuzzy c-means
AU - Kanzawa, Yuchi
PY - 2015/9/1
Y1 - 2015/9/1
N2 - In this study, a maximizing model of Bezdek-like spherical fuzzy c-means clustering is proposed, which is based on the regularization of the maximizing model of spherical hard c-means. Such a maximizing model was unclear in Bezdek-like method, whereas other types of methods have been investigated well both in minimizing and maximizing model. Using theoretical analysis and numerical experiments, the classifi-cation rule of the proposed method is shown. Using numerical examples, the proposed method is shown to be valid for document clustering, because documents are represented as spherical data via term documentinverse document frequency weighting and normalization processing.
AB - In this study, a maximizing model of Bezdek-like spherical fuzzy c-means clustering is proposed, which is based on the regularization of the maximizing model of spherical hard c-means. Such a maximizing model was unclear in Bezdek-like method, whereas other types of methods have been investigated well both in minimizing and maximizing model. Using theoretical analysis and numerical experiments, the classifi-cation rule of the proposed method is shown. Using numerical examples, the proposed method is shown to be valid for document clustering, because documents are represented as spherical data via term documentinverse document frequency weighting and normalization processing.
KW - Fuzzy c-means
KW - Spherical clustering
UR - http://www.scopus.com/inward/record.url?scp=84943377914&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84943377914&partnerID=8YFLogxK
U2 - 10.20965/jaciii.2015.p0662
DO - 10.20965/jaciii.2015.p0662
M3 - Article
AN - SCOPUS:84943377914
SN - 1343-0130
VL - 19
SP - 662
EP - 669
JO - Journal of Advanced Computational Intelligence and Intelligent Informatics
JF - Journal of Advanced Computational Intelligence and Intelligent Informatics
IS - 5
ER -