A New Clustering Ensemble Algorithm Using Binary Nonnegative Matrix Factorization

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外文摘要：Clustering ensemble is an important extension of the clustering algorithms， it has been proved that clustering ensemble can improve clustering robustness。 Recent research proposed that solving clustering ensemble can use nonnegative matrix factorization。 The paper proposes a new clustering ensemble algorithm using binary nonnegative matrix factorization。 This approach forms the binary matrix according to clustering partitions and factorizes binary nonnegative matrix factorization to achieve final clustering。 The experimental results show that the separation and the quality of new algorithm are better than other algorithms。

外文关键词：

clustering ensemblenonnegative matrix factorizationbinary nonnegative matrix factorization

作者：

LIU limin、FAN Xiaoping

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作者单位：

School of Information Science and Engineering Central South University Changsha,China

会议名称：

IEEE international conference on computer science and information technology

会议地点：

Chengdu(CN)

会议母体文献：

2011 4th IEEE international conference on computer science and information technology

页码：

163-167

出版时间：

2011