Adapt DB-PSO patterns clustering algorithms and its applications in image segmentation

Clustering algorithm is a crucial step before to analysis object’s feature in image applications. The adapt DB-PSO patterns clustering algorithms (ADPCA) combined the particle swarm optimization (PSO) clustering algorithm and adapt DB_index measuring methodology to efficiently decide the real number...

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Vydané v:	Multimedia tools and applications Ročník 75; číslo 23; s. 15327 - 15339
Hlavní autori:	Chen, Hua-Ching, Feng, Hsuan-Ming, Lin, Te-Hui, Chen, Ching-Yi, Zha, Yu-Xiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.12.2016 Springer Nature B.V
Predmet:	Algorithms Analysis Clustering Clusters Computer Communication Networks Computer Science Computer vision Data Structures and Information Theory Datasets Homogeneity Image processing systems Multimedia Information Systems Optimization Special Purpose and Application-Based Systems Studies Swarm intelligence Training Validity DB validity Image segmentation Particle swarm optimization Clustering algorithm
ISSN:	1380-7501, 1573-7721
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