کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
405376 677551 2008 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Classification of multivariate time series using locality preserving projections
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Classification of multivariate time series using locality preserving projections
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 21, Issue 7, October 2008, Pages 581–587
نویسندگان
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