Continuous tabu-firefly algorithm applied to the K-means clustering problem

Continuous tabu-firefly algorithm applied to the K-means clustering problem

Data clustering is the unsupervised classification of unlabeled data objects into groups called clusters. It is one of the most primitive activities of human beings, and has been extensively used for understanding and utility. One type of clustering is K-means clustering, where data objects are pa...

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Bibliographic Details
Main Author: Matunog, Mikael Nazal
Format: Thesis
Language:English
Published: 2011
Subjects:
Algorithms.
Firefly Algorithm (FA)
Continuous Tabu Searchn (CTS)
K-means.
Clustering.
Hybrid metaheuristics.
Particle swarm optimization.
K-means algorithm.
Clustering problem.
Continuous Tab-Firefly Algorithm (CTFA)
Brute force methods.