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- W2044914166 abstract "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." @default.
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- W2044914166 title "Classification of multivariate time series using locality preserving projections" @default.
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- W2044914166 doi "https://doi.org/10.1016/j.knosys.2008.03.027" @default.
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