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...

Полное описание

Библиографические подробности

Главный автор:	Mabano, Armand Jay C.
Формат:	Диссертация
Язык:	English
Опубликовано:	2008
Предметы:	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.