Clustering-Inverse: A Generalized Model for Pattern-Based Time Series Segmentation

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.net/journal/jilsa
E-mail: [email protected]

Citations

"Clustering-Inverse: A Generalized Model for Pattern-Based Time Series Segmentation"
written by Zhaohong Deng, Fu-Lai Chung, Shitong Wang,
published by Journal of Intelligent Learning Systems and Applications, Vol.3 No.1, 2011

has been cited by the following article(s):

[1]	Is clustering advantageous in statistical ill-posed linear inverse problems
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[2]	Estimation and Clustering in Statistical Ill-posed Linear Inverse Problems
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[3]	Clustering in statistical ill-posed linear inverse problems
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[4]	Perceptually important point identification for big data analytics: performance analysis and applications
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[5]	Perceptually Important Point Identification for Big Data Analytics
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[6]	Linear combination of densities and its direct estimation framework with applications
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[7]	Rough Sets–Application in Data Mining
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[8]	Online monitoring and prediction of complex time series events from nonstationary time series data
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[1]	Is Clustering Advantageous in Statistical Ill-Posed Linear Inverse Problems? IEEE Transactions on Information Theory, 2020 DOI:10.1109/TIT.2020.3014409