Clustering system, and defect kind judging device

作者: Koji Ohnishi , Akio Suguro , Makoto Kurumisawa

DOI:

关键词: Pattern recognitionRank (linear algebra)Artificial intelligenceCluster (physics)PopulationSet (abstract data type)Basis (linear algebra)Cluster analysisLearning dataComputer science

摘要: Provided is a clustering system capable of classifying target data more rapidly and precisely than the examples prior art. The classifies input into each clusters formed populations learning data, in terms featuring quantities owned by data. comprises set storage unit stored with quantity sets or combination to be used for classifications, manner correspond individual clusters, extracting preset from distance calculating outputting distances between center population individually as corresponding cluster, on basis contained set, rank arraying order smaller length.

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