DocumentCode
2208193
Title
Measurement of the correlation in a multidimensional feature space
Author
Sen, Nirmalya ; Gupta, Rahul Das ; Chakroborty, Sandipan
Author_Institution
Signal Process. Res. Group, Indian Inst. of Technol., Kharagpur, India
fYear
2010
fDate
July 29 2010-Aug. 1 2010
Firstpage
452
Lastpage
457
Abstract
This paper introduces an index which can be used as a measure of correlation between features of a multidimensional feature vector. The proposed index has been intuitively explained using constant distance loci of Mahalanobis metric. More rigorous explanation has been given using orthogonal decomposition of the vector space. The application of the proposed index has been given using 2D synthetic data.
Keywords
feature extraction; matrix algebra; pattern recognition; vectors; 2D synthetic data; Mahalanobis metric; constant distance loci; correlation Measurement; index; multidimensional feature space; orthogonal decomposition; vector space; Correlation; Covariance matrix; Equations; Feature extraction; Indexes; Matrix decomposition; Symmetric matrices; Correlation; Mahalanobis metric; constant distance loci; orthogonal projection; spectral decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial and Information Systems (ICIIS), 2010 International Conference on
Conference_Location
Mangalore
Print_ISBN
978-1-4244-6651-1
Type
conf
DOI
10.1109/ICIINFS.2010.5578662
Filename
5578662
Link To Document