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

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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Dettagli Bibliografici
Autore principale: Mabano, Armand Jay C.
Natura: Tesi
Lingua:English
Pubblicazione: 2008
Soggetti:
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.