作者: Koji Ohnishi , Akio Suguro , Makoto Kurumisawa
DOI:
关键词: Pattern recognition 、 Rank (linear algebra) 、 Artificial intelligence 、 Cluster (physics) 、 Population 、 Set (abstract data type) 、 Basis (linear algebra) 、 Cluster analysis 、 Learning data 、 Computer 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.