An Efficient Pattern Partitioning Method in Multi - dimensional Feature Space


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 3, pp. 833-841, Mar. 1998
10.3745/KIPSTE.1998.5.3.833,   PDF Download:

Abstract

The aim of this study is to propose an efficient method for partition of multi-dimensional feature space into pattern subspace for automated generation of fuzzy rule. The suggested method predicates on sequential subdivision of the fuzzy subspace, and the size of constructed pattern space is variable. Under this procedure, n-dimensional pattern space, after considering the distributional characteristic patterns, is partitioned into two different pattern subspaces. From the two subspaces, the pattern space for further subdivision is chosen; then, this subdivision procedure recursively repeats itself until the stopping condition is fulfilled. The result of this study is applied to 2, 4, 7 band of satellite Landsat TM and satisfactory result is acquired.


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Cite this article
[IEEE Style]
K. J. Il, "An Efficient Pattern Partitioning Method in Multi - dimensional Feature Space," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 3, pp. 833-841, 1998. DOI: 10.3745/KIPSTE.1998.5.3.833.

[ACM Style]
Kim Jin Il. 1998. An Efficient Pattern Partitioning Method in Multi - dimensional Feature Space. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 3, (1998), 833-841. DOI: 10.3745/KIPSTE.1998.5.3.833.