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Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis

Year of publication

2016

Authors

Yang, Zhirong; Corander, Jukka; Oja, Erkki

Organizations and authors

University of Helsinki

Corander Jukka

Yang Zhirong

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Journal of Machine Learning Research

Parent publication name

Journal of Machine Learning Research

Volume

17

Issue

187

Article number

1

Pages

1-25

ISSN

Publication forum

Publication forum level

3

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

No

Other information

Fields of science

Statistics and probability; Computer and information sciences

Keywords

Algorithms; Cluster analysis; doubly stochastic matrix; FACTORIZATION; K-MEANS PROBLEM; MANIFOLD; multiplicative updates; probabilistic relaxation

Publication country

United States

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes