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RPCL-Based Local PCA Algorithm
San Jose, California November 29-December 02
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989582First IEEE International Conference o ...
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Zhiyong Liu, Lei Xu, "RPCL-Based Local PCA Algorithm," Data Mining, IEEE International Conference on, pp. 621, First IEEE International Conference on Data Mining (ICDM'01), 2001.
 
 
BibTex
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@article{ 10.1109/ICDM.2001.989582,
author = {Zhiyong Liu and Lei Xu},
title = {RPCL-Based Local PCA Algorithm},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2001},
isbn = {0-7695-1119-8},
pages = {621},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989582},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Data Mining, IEEE International Conference on
TI - RPCL-Based Local PCA Algorithm
SN - 0-7695-1119-8
SP
EP
A1 - Zhiyong Liu,
A1 - Lei Xu,
PY - 2001
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Mining local structure is important in data analysis. Gaussian mixture is able to describe local structure through the covariance matrices, but when used on high dimensional data, fitly specifying such a large number of d(d + 1)=2 free elements in each covariance matrix is difficult. In this paper, by constraining the covariance matrix in decomposed orthonormal form, we propos a Local PCA algorithm to tackle this problem in help of RPCL competitive learning, which can automatically determine the number of local structure.
Citation:
Zhiyong Liu, Lei Xu, "RPCL-Based Local PCA Algorithm," icdm, pp.621, First IEEE International Conference on Data Mining (ICDM'01), 2001
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