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Classification and Clustering for Knowledge Discovery


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This book covers the latest advances in data analysis methods in Computational Intelligence and supervised to unsupervised knowledge discovery. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifier, and decision trees. Therefore, this book presents a collection of important data analysis methods are supervised.

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artificial intelligence cluster knowledge machine learning neural networks statistics science applied mathematics cybernetics computational intelligence statistical classification supervised learning classifier (mathematics) evolving classification function

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