期刊
KNOWLEDGE-BASED SYSTEMS
卷 21, 期 7, 页码 581-587出版社
ELSEVIER
DOI: 10.1016/j.knosys.2008.03.027
关键词
Locality preserving projection; Multivariate time series; Classification
资金
- National Science Foundation of China [60173058]
Multivariate time series (MTS) are used in very broad areas such as multimedia, medicine, finance and speech recognition. A new approach for MTS classification using locality preserving projections (LPP) is proposed. By using LPP, the MTS samples can be projected into a lower-dimensional space in which the MTS samples related to the same class are close to each other, the MTS samples in testing set can be identified by one-nearest-neighbor classifier in the lower-dimensional space. Experimental results performed on five real-world datasets demonstrate the effectiveness of our proposed approach for MTS classification. (c) 2008 Elsevier B.V. All rights reserved.
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