Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Genetic Algorithms and Investment Strategies
Genetic Algorithms and Investment Strategies
Data Mining: the search for knowledge in databases.
Data Mining: the search for knowledge in databases.
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Clustering is primarily used to uncover the true underlying structure of a given data set. Most algorithms for fuzzy clustering often depend on initial guesses of the cluster centers and assumptions made as to the number of subgroups presents in the data. In this paper, we propose a method for fuzzy clustering without initial guesses on cluster number in the data set. Our method assumes that clusters will have the normal distribution. Our method can automatically estimates the cluster number and achieve the clustering according to the number, and it uses structured Genetic Algorithm (sGA) with graph structured chromosome.