Recently, picture fuzzy clustering (FC-PFS) has been introduced as a new computational
intelligence tool for various problems in knowledge discovery and pattern recognition …

Fuzzy clustering plays an important role in pattern recognition and knowledge discovery.
Recently, there has been a great interest of developing fuzzy clustering algorithms on …

Fuzzy clustering is a useful segmentation tool which has been widely used in many
applications in real life problems such as in pattern recognition, recommender systems …

Fuzzy clustering especially fuzzy C C-means (FCM) is considered as a useful tool in the
processes of pattern recognition and knowledge discovery from a database; thus being …

Display Omitted We focused on the clustering problem in picture fuzzy sets. A generalized
picture distance measure was proposed. A novel hierarchical picture clustering method …

With the increase in sample number or image size, it is very important to improve the
efficiency of picture fuzzy clustering algorithm in data classification or image segmentation …

Based on picture fuzzy set theory, picture fuzzy clustering has achieved good results on
some data as more information is involved in the clustering process. However, current …

In this paper, we introduced a novel image clustering method based on combination of the
classical Fuzzy C-Means (FCM) algorithm and Backtracking Search optimization Algorithm …

This paper summarizes the major findings of the research project under the code name QG.
14.60. The research aims to enhancement of some fuzzy clustering methods by the mean of …

Image classification and clustering is a challenging problem in computer vision. This paper
proposed a kind of particle swarm optimization clustering approach: FPSOC to process …