A New Clustering Method for Minimum Classification Error
نویسندگان
چکیده
منابع مشابه
Minimum Error Classification Clustering
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. In this paper, we study on the problem of clustering categorical data, where data objects are made up of non-numerical attributes. We propose MECC (Minimum Error Classification Clustering), an alternative technique for categ...
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ژورنال
عنوان ژورنال: Journal of the Korea Society of Computer and Information
سال: 2014
ISSN: 1598-849X
DOI: 10.9708/jksci.2014.19.7.001