Competitive learning algorithms for vector quantization
Neural Networks
A simulated annealing algorithm for the clustering problem
Pattern Recognition
Data preparation for data mining
Data preparation for data mining
ACM Computing Surveys (CSUR)
Swarm intelligence
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Cluster center initialization algorithm for K-means clustering
Pattern Recognition Letters
ICCIMA '05 Proceedings of the Sixth International Conference on Computational Intelligence and Multimedia Applications
Particles with Age for Data Clustering
ICIT '06 Proceedings of the 9th International Conference on Information Technology
Swarm directions embedded in fast evolutionary programming
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Dissipative particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Particle swarm optimisation with spatial particle extension
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Initializing K-means Batch Clustering: A Critical Evaluation of Several Techniques
Journal of Classification
A heuristic particle swarm optimization
Proceedings of the 9th annual conference on Genetic and evolutionary computation
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 04
A hybridized approach to data clustering
Expert Systems with Applications: An International Journal
IPC '07 Proceedings of the The 2007 International Conference on Intelligent Pervasive Computing
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
Pattern Recognition Letters
Spatial clustering with obstacles constraints using particle swarm optimization
Proceedings of the 2nd international conference on Scalable information systems
An efficient k'-means clustering algorithm
Pattern Recognition Letters
Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm
Computational Statistics & Data Analysis
Self-adaptive velocity particle swarm optimization for solving constrained optimization problems
Journal of Global Optimization
A PSO-Based Clustering Algorithm for Manufacturing Cell Design
WKDD '08 Proceedings of the First International Workshop on Knowledge Discovery and Data Mining
Rough particle swarm optimization and its applications in data mining
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue (1143 - 1198) " Distributed Bioinspired Algorithms"; Guest editors: F. Fernández de Vega, E. Cantú-Paz
Particle Swarms for Multimodal Optimization
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Research on a New Effective Data Mining Method Based on Neural Networks
ISECS '08 Proceedings of the 2008 International Symposium on Electronic Commerce and Security
OntoDM: An Ontology of Data Mining
ICDMW '08 Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
A clustering algorithm using particle swarm optimization for DNA chip data analysis
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
Swarm optimized organizing map (SWOM): A swarm intelligence basedoptimization of self-organizing map
Expert Systems with Applications: An International Journal
Differential evolution and particle swarm optimisation in partitional clustering
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
A New Algorithm for Clustering Based on Particle Swarm Optimization and K-means
AICI '09 Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 04
Self-Organization particle swarm optimization based on information feedback
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
An adaptive multi-objective particle swarm optimization for color image fusion
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
OPSO: Orthogonal Particle Swarm Optimization and Its Application to Task Assignment Problems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Survey of clustering algorithms
IEEE Transactions on Neural Networks
Black hole: A new heuristic optimization approach for data clustering
Information Sciences: an International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
| Hi-index | 0.00 |
Data clustering is one of the most popular techniques in data mining. It is a method of grouping data into clusters, in which each cluster must have data of great similarity and high dissimilarity with other cluster data. The most popular clustering algorithm K-mean and other classical algorithms suffer from disadvantages of initial centroid selection, local optima, low convergence rate problem etc. Particle Swarm Optimization (PSO) is a population based globalized search algorithm that mimics the capability (cognitive and social behavior) of swarms. PSO produces better results in complicated and multi-peak problems. This paper presents a literature survey on the PSO application in data clustering. PSO variants are also described in this paper. An attempt is made to provide a guide for the researchers who are working in the area of PSO and data clustering.