Memetic Particle Gravitation Optimization Algorithm for Solving Clustering Problems

Data clustering is a well-known data analysis technique for organizing unlabeled datapoints into clusters on the basis of similarity measures. The real-world applications of data clustering include bioinformatics, vector quantization, data mining, geographical information systems, pattern recognitio...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.80950-80968
Hauptverfasser:	Huang, Ko-Wei, Wu, Ze-Xue, Peng, Hsing-Wei, Tsai, Ming-Chia, Hung, Yu-Chieh, Lu, Yu-Chin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Ant colony optimization Benchmarks Bioinformatics Clustering Clustering algorithms Convergence Crossovers Data analysis Data clustering Data mining Evolutionary computation Exchanging Genetic algorithms Geographic information systems Gravitation gravitational search algorithm Heuristic methods Image processing Image segmentation Machine learning Machine learning algorithms memetic algorithm Object recognition Operators (mathematics) Optimization Particle swarm optimization Partitioning algorithms Pattern recognition Search algorithms Signal processing algorithms Signal to noise ratio Vector quantization
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