AN EFFECTIVE INITIALIZATION FOR ORTHOGONAL NONNEGATIVE MATRIX FACTORIZATION

被引：6

作者：

Wang, Xuansheng ^{[1
]}

Xie, Xiaoyao ^{[2
]}

Lu, Linzhang ^{[1
,2
]}

机构：

[1] Xiamen Univ, Sch Math Sci, Xiamen 361005, Peoples R China

[2] Guizhou Normal Univ, Sch Math & Comp Sci, Guiyang 550001, Peoples R China

来源：

JOURNAL OF COMPUTATIONAL MATHEMATICS | 2012年 / 30卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Lanczos bidiagonalization; Orthogonal nonnegative matrix factorization; Low-rank approximation; Nonnegative approximation;

D O I：

10.4208/jcm.1110-m11si10

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The orthogonal nonnegative matrix factorization (ONMF) has many applications in a variety of areas such as data mining, information processing and pattern recognition. In this paper, we propose a novel initialization method for the ONMF based on the Lanczos bidiagonalization and the nonnegative approximation of rank one matrix. Numerical experiments are given to show that our initialization strategy is effective and efficient.

引用

页码：34 / 46

页数：13

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