Memetic Particle Gravitation Optimization Algorithm for Solving Clustering Problems

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...

Full description

Bibliographic Details
Main Authors: Ko-Wei Huang, Ze-Xue Wu, Hsing-Wei Peng, Ming-Chia Tsai, Yu-Chieh Hung, Yu-Chin Lu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Data clustering
gravitational search algorithm
image segmentation
memetic algorithm
particle swarm optimization
Online Access:https://ieeexplore.ieee.org/document/8742583/

Internet

https://ieeexplore.ieee.org/document/8742583/

Similar Items