|
Volumn , Issue , 2010, Pages 17-21
|
An increased performance of clustering high dimensional data using principal component analysis
|
Author keywords
Dimension reduction; K means; Principal component analysis
|
Indexed keywords
APPLICATION DOMAINS;
CLUSTERING METHODS;
COMPUTATIONAL BIOLOGY;
CURSE OF DIMENSIONALITY;
DATA DIMENSIONS;
DATA SETS;
DIMENSION REDUCTION;
HIGH DIMENSIONAL DATA;
HIGH-DIMENSIONAL DATASET;
K-MEANS;
K-MEANS CLUSTERING ALGORITHM;
NEW APPROACHES;
PRINCIPAL COMPONENTS;
BIOINFORMATICS;
CLUSTER ANALYSIS;
CLUSTERING ALGORITHMS;
DATA PROCESSING;
IMAGE PROCESSING;
INTELLIGENT COMPUTING;
PRINCIPAL COMPONENT ANALYSIS;
|
EID: 77958541443
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICIIC.2010.31 Document Type: Conference Paper |
Times cited : (11)
|
References (12)
|