Unsupervised Classification Using Immune Algorithm

Details Unsupervised Classification Using Immune Algorithm Unsupervised Classification Using Immune Algorithm

2012-01-25

arxiv.org/abs/1201.5217v1

Computer Science

Learning

Scientific paper

10.5120/677-952

Unsupervised classification algorithm based on clonal selection principle named Unsupervised Clonal Selection Classification (UCSC) is proposed in this paper. The new proposed algorithm is data driven and self-adaptive, it adjusts its parameters to the data to make the classification operation as fast as possible. The performance of UCSC is evaluated by comparing it with the well known K-means algorithm using several artificial and real-life data sets. The experiments show that the proposed UCSC algorithm is more reliable and has high classification precision comparing to traditional classification methods such as K-means.

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