On Genetic Algorithms for Boolean Matrix Factorization

被引：8
|
作者：
Snasel, Vaclav [1 ]
Platos, Jan [1 ]
Kromer, Pavel [1 ]
机构：
[1] Tech Univ Ostrava, FEECS, Dept Comp Sci, VSB, Ostrava 70833, Czech Republic
来源：
ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ISDA.2008.317
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Matrix factorization or factor analysis is an important task in the analysis of high dimensional real world data. There are several well known methods and algorithms for factorization of real data but they are rather inefficient when dealing with binary information. In this paper we introduce background and initial version of Genetic Algorithm for binary matrix factorization.
引用
收藏
页码：170 / 175
页数：6
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