Cargando…
Canonical PSO Based K-Means Clustering Approach for Real Datasets
“Clustering” the significance and application of this technique is spread over various fields. Clustering is an unsupervised process in data mining, that is why the proper evaluation of the results and measuring the compactness and separability of the clusters are important issues. The procedure of...
Autores principales: | Dey, Lopamudra, Chakraborty, Sanjay |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897525/ https://www.ncbi.nlm.nih.gov/pubmed/27355083 http://dx.doi.org/10.1155/2014/414013 |
Ejemplares similares
-
A Modified MinMax k-Means Algorithm Based on PSO
por: Wang, Xiaoyan, et al.
Publicado: (2016) -
Classification of Two Class Motor Imagery Tasks Using Hybrid GA-PSO Based K-Means Clustering
por: Suraj,, et al.
Publicado: (2015) -
An Improved Fuzzy c-Means Clustering Algorithm Based on Shadowed Sets and PSO
por: Zhang, Jian, et al.
Publicado: (2014) -
AdPSO: Adaptive PSO-Based Task Scheduling Approach for Cloud Computing
por: Nabi, Said, et al.
Publicado: (2022) -
Dynamic Sub-Swarm Approach of PSO Algorithms for Text Document Clustering
por: Selvaraj, Suganya, et al.
Publicado: (2022)