Two-way analysis of high-dimensional collinear data

Author： Huopaniemi Ilkka   Suvitaival Tommi   Nikkilä Janne   Orešič Matej   Kaski Samuel  

Publisher： Springer Publishing Company

ISSN： 1384-5810

Source： Data Mining and Knowledge Discovery, Vol.19, Iss.2, 2009-10, pp. : 261-276

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Visual Exploration of High‐Dimensional Data through Subspace Analysis and Dynamic Projections

By  

COMPUTER GRAPHICS FORUM (ELECTRONIC), Vol. 34, Iss. 3, 2015-06 ,pp. : 271-280

John Wiley & Sons Inc

Access to resources Recommend Favorite

Feature selection for high-dimensional data

By Destrero Augusto  

Computational Management Science, Vol. 6, Iss. 1, 2009-02 ,pp. : 25-40

Springer Publishing Company

Access to resources Recommend Favorite

Querying high-dimensional data in single-dimensional space

By Yu Cui  

The VLDB Journal, Vol. 13, Iss. 2, 2004-05 ,pp. : 105-119

Springer Publishing Company

Access to resources Recommend Favorite

Improving Data Quality on Big and High-Dimensional Data

By Akerkar Rajendra  

Journal of Bioinformatics and Intelligent Control, Vol. 1, Iss. 2, 2012-12 ,pp. : 155-162

American Scientific Publishers

Access to resources Recommend Favorite

Class-imbalanced classifiers for high-dimensional data

By Lin Wei-Jiun   Chen James J.  

Briefings in Bioinformatics, Vol. 14, Iss. 1, 2013-01 ,pp. : 13-26

Oxford University Press

Access to resources Recommend Favorite