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ISNN
2011
Springer
12 years 9 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
IMSCCS
2007
IEEE
14 years 1 months ago
Linear Correlation Analysis of Numeric Attributes for Government Data
To analyze the linear correlations of numeric attributes of government data, this paper proposes a method based on the clustering algorithm. A clustering method is adopted to prun...
Ying Chen, Guochang Gu, Tian-yang Lv, Shaobin Huan...
ICIP
2008
IEEE
14 years 1 months ago
Understanding and simplifying the structural similarity metric
The structural similarity (SSIM) metric and its multi-scale extension (MS-SSIM) evaluate visual quality with a modied local measure of spatial correlation consisting of three c...
David M. Rouse, Sheila S. Hemami
ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
14 years 1 months ago
Accounting for non-linear dependence using function driven component analysis
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
Lerong Cheng, Puneet Gupta, Lei He