Fifty years have gone by since the publication of the first paper on clustering based on fuzzy sets theory. In 1965, L.A. Zadeh had published “Fuzzy Sets” [335]. After only one year, the first effects of this seminal paper began to emerge, with the pioneering paper on clustering by Bellman, Kalaba, Zadeh [33], in which they proposed a prototypal of clustering algorithm based on the fuzzy sets theory
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
International audienceThis special issue celebrates the publication of the first paper on fuzzy sets...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
Fifty years have gone by since the publication of the first pape on clustering based on fuzzy sets ...
Fifty years have gone by since the publication of the first paper on clustering based on fuzzy sets ...
Fifty years have gone by since the publication of the first paper on clustering based on fuzzy sets ...
Abstract — In recent years, data mining is widely preferred area by researcher for discovering new k...
This chapter provides a comprehensive, focused introduction to clustering, viewed as a fundamental m...
This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in L...
In the 1950s, the mathematically oriented electrical engineer, Lotfi A. Zadeh, investigated system t...
In the 1950s, the mathematically oriented electrical engineer, Lotfi A. Zadeh, investigated system t...
Abstract. In this paper, we study and improve the fuzzy clustering index and clustering algorithm pr...
Recently, a new empirically successful algorithm was proposed for crisp clustering: the K-sets algor...
This book is dedicated to Prof. Sadaaki Miyamoto and presents cutting-edge papers in some of the are...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
International audienceThis special issue celebrates the publication of the first paper on fuzzy sets...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
Fifty years have gone by since the publication of the first pape on clustering based on fuzzy sets ...
Fifty years have gone by since the publication of the first paper on clustering based on fuzzy sets ...
Fifty years have gone by since the publication of the first paper on clustering based on fuzzy sets ...
Abstract — In recent years, data mining is widely preferred area by researcher for discovering new k...
This chapter provides a comprehensive, focused introduction to clustering, viewed as a fundamental m...
This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in L...
In the 1950s, the mathematically oriented electrical engineer, Lotfi A. Zadeh, investigated system t...
In the 1950s, the mathematically oriented electrical engineer, Lotfi A. Zadeh, investigated system t...
Abstract. In this paper, we study and improve the fuzzy clustering index and clustering algorithm pr...
Recently, a new empirically successful algorithm was proposed for crisp clustering: the K-sets algor...
This book is dedicated to Prof. Sadaaki Miyamoto and presents cutting-edge papers in some of the are...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...
International audienceThis special issue celebrates the publication of the first paper on fuzzy sets...
Fuzzy clustering is an approach using the fuzzy set theory as a tool for data grouping, which has ad...