Output details
11 - Computer Science and Informatics
Birkbeck College
Article title
Geometric Mean for Subspace Selection
Type
D - Journal article
Title of journal
IEEE Transactions on Pattern Analysis and Machine Intelligence
Article number
-
Volume number
31
Issue number
2
First page of article
260
ISSN of journal
0162-8828
Year of publication
2009
URL
-
Number of additional authors
3
Additional information
<23> This paper presents a new way of projecting data from a high dimensional space to a very low dimensional space, while at the same time keeping separate the clusters in the data. The effectiveness of the projection is tested on training data using classifiers based on the nearest neighbour rule or the Mahanalobis distance.
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Computational Intelligence
Citation count
222
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
