Effectiveness of particles swarm optimization-tabu search (PSO-TS) to iris data set and wine data set

Data clustering is a process of grouping together similar objects in bins. This project aims to find alternative method of clustering continuous data set using a hybrid type of algorithm. The two algorithms that I tried to hybrid are Particle Swarm Optimization and Tabu Search. These two algorithms...

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Dades bibliogràfiques

Autor principal:	Mabano, Armand Jay C.
Format:	Thesis
Idioma:	anglès
Publicat:	2008
Matèries:	Particle swarm optimizations (PSO) Data clustering. Tabu search (TS) Quantization errors. PSO-TS (Particle Swarm Optimization)-(Tabu Search) PSO-SA (particle Swarm Optimization)-(Simulation Annealing) Data sets. Data sets > Iris. Data sets > Wine. Algorithms.