Data classification by parallel generation of set partitions
by Hoang Chi Thanh
International Journal of Intelligent Information and Database Systems (IJIIDS), Vol. 7, No. 2, 2013

Abstract: In this paper, we propose two data classification problems. As each crisp classification of a data object set is a partition of the set, so we apply our partition generation algorithm to the data classification problems. First, we recall our new simple algorithm generating partitions and parallelise it. Then we separate a data object set into classes by partitioning the set.

Online publication date: Fri, 26-Apr-2013

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