Algorithms for clustering data
Algorithms for clustering data
A genetic algorithm that exchanges neighboring centers for k-means clustering
Pattern Recognition Letters
Computers and Operations Research
A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters
IEEE Transactions on Knowledge and Data Engineering
A genetic fuzzy k-Modes algorithm for clustering categorical data
Expert Systems with Applications: An International Journal
An artificial bee colony approach for clustering
Expert Systems with Applications: An International Journal
An application of particle swarm optimization algorithm to clustering analysis
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Digital Information Forensics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stem cells optimization algorithm
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Automatic Clustering Using an Improved Differential Evolution Algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
| Hi-index | 0.00 |
One of the simple techniques for Data Clustering is based on Fuzzy C-means (FCM) clustering which describes the belongingness of each data to a cluster by a fuzzy membership function instead of a crisp value. However, the results of fuzzy clustering depend highly on the initial state selection and there is also a high risk for getting the best results when the datasets are large. In this paper, we present a hybrid algorithm based on FCM and modified stem cells algorithms, we called it SC-FCM algorithm, for optimum clustering of a dataset into K clusters. The experimental results obtained by using the new algorithm on different well-known datasets compared with those obtained by K-means algorithm, FCM, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC) Algorithm demonstrate the better performance of the new algorithm.