Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
نویسندگان
چکیده
منابع مشابه
Automatic Kernel Clustering with Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. The proposed method is based on a modified version of classical Particle Swarm Optimization (PSO) algorithm, known as the Multi-elitist PSO (MEPSO) model. It also employs a kernel-induced similarity measure instead of t...
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This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. The proposed method is based on a modified version of classical Particle Swarm Optimization (PSO) algorithm, known as the Multi-Elitist PSO (MEPSO) model. It also employs a kernel-induced similarity measure instead of t...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2008
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2007.12.002