Coupled locality discriminant analysis with globality preserving for dimensionality reduction
Coupled locality discriminant analysis with globality preserving for dimensionality reduction
About this item
Full title
Author / Creator
Su, Shuzhi , Zhu, Gang , Zhu, Yanmin , Ge, Bin and Liang, Xingzhu
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Dimensionality reduction plays a key role in pattern recognition. It can preserve essential and inherent feature information while reducing noise and redundant information contained in the high-dimensional raw data, which achieve performance improvement in subsequent tasks (e.g., classification and clustering). Locality preserving projection (LPP),...
Alternative Titles
Full title
Coupled locality discriminant analysis with globality preserving for dimensionality reduction
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2779961783
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2779961783
Other Identifiers
ISSN
0924-669X
E-ISSN
1573-7497
DOI
10.1007/s10489-022-03409-3
