Add to ORKGTwo new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. An empirical study of their convergence behavior is discussed. The performance of the new algorithms is compared with the fuzzy c-means algorithm by testing them on four published data sets. Experimental results show that the new algorithms are faster and lead to computational savings
[[abstract]]Some of the well-known fuzzy clustering algorithms are based on Euclidean distance funct...
[[abstract]]The popular fuzzy c-means algorithm (FCM) is an objective function based clustering meth...
The Fuzzy Clustering Problem (FCP) is a mathematical program which is difficult to solve since it is...
Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is pro...
Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is pro...
The Fuzzy clustering (FC) problem is a non-convex mathematical program which usually possesses sever...
Fuzzy clustering algorithms are widely used in many fields, more and more research results have been...
[[abstract]]Some of the well-known fuzzy clustering algorithms are based on Euclidean distance funct...
Clustering algorithms are a primary tool in data analysis, facilitating the discovery of groups and ...
Abstract—Some of the well-known fuzzy clustering algorithms are based on Euclidean distance function...
textabstractFuzzy clustering is a widely applied method for obtaining fuzzy models from data. It has...
This paper deals with a new method of fuzzy clustering. The basic concepts of the method are introdu...
Šis darbs ir veltīts piecām klasterizācijas metodēm: K-vidējo klasterizācijas algoritms, C-vidējo ne...
A cluster is a gathering of similar objects which can exhibit dissimilarity to the objects of other ...
Fuzzy clustering is a widely applied method for obtaining fuzzy models from data. It has been applie...
[[abstract]]Some of the well-known fuzzy clustering algorithms are based on Euclidean distance funct...
[[abstract]]The popular fuzzy c-means algorithm (FCM) is an objective function based clustering meth...
The Fuzzy Clustering Problem (FCP) is a mathematical program which is difficult to solve since it is...
Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is pro...
Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is pro...
The Fuzzy clustering (FC) problem is a non-convex mathematical program which usually possesses sever...
Fuzzy clustering algorithms are widely used in many fields, more and more research results have been...
[[abstract]]Some of the well-known fuzzy clustering algorithms are based on Euclidean distance funct...
Clustering algorithms are a primary tool in data analysis, facilitating the discovery of groups and ...
Abstract—Some of the well-known fuzzy clustering algorithms are based on Euclidean distance function...
textabstractFuzzy clustering is a widely applied method for obtaining fuzzy models from data. It has...
This paper deals with a new method of fuzzy clustering. The basic concepts of the method are introdu...
Šis darbs ir veltīts piecām klasterizācijas metodēm: K-vidējo klasterizācijas algoritms, C-vidējo ne...
A cluster is a gathering of similar objects which can exhibit dissimilarity to the objects of other ...
Fuzzy clustering is a widely applied method for obtaining fuzzy models from data. It has been applie...
[[abstract]]Some of the well-known fuzzy clustering algorithms are based on Euclidean distance funct...
[[abstract]]The popular fuzzy c-means algorithm (FCM) is an objective function based clustering meth...
The Fuzzy Clustering Problem (FCP) is a mathematical program which is difficult to solve since it is...