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Representative subset selection using genetic algorithms

โœ Scribed by Yukio Tominaga

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
215 KB
Volume
43
Category
Article
ISSN
0169-7439

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โœฆ Synopsis

The selection of representative subsets was performed using genetic algorithms GAs . The dissimilarity Dis of selected ลฝ . samples within a subset and the mean of the product-moment correlation coefficients MP were used as fitness function of the GAs. We applied the GAs to select representative subsets from the dataset containing 5000 samples which were randomly selected from Maybridge catalog. Two fitness functions didn't always select corresponding subsets; higher Dis didn't always lead higher MP and vice versa. The data structures of selected subsets were compared by using box counting analysis. The comparison suggested that the data structures of the selected subsets with higher MP reflect original data structure more correctly.

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