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Nonstationary time series analysis by temporal clustering
Shai Policker,
Amir B. Geva
Department of Electrical & Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
36
Scopus citations
Overview
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Dive into the research topics of 'Nonstationary time series analysis by temporal clustering'. Together they form a unique fingerprint.
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Keyphrases
Fuzzy Clustering Algorithm
100%
Non-stationary Time Series Analysis
100%
Temporal Clustering
100%
Algorithm Performance
50%
Temporal Patterns
50%
Cluster Validity Criterion
50%
Continuous Change
50%
Non-stationary Time Series
50%
Membership Matrix
50%
Stopping Conditions
50%
Mixture Probability Distribution Functions
50%
Changes in Regime
50%
Mathematics
Matrix (Mathematics)
100%
Clustering Algorithm
100%
Probability Distribution Function
100%
Clustering
100%
Clustering Method
100%
Time Series Analysis
100%
Computer Science
Algorithm Performance
100%
Fuzzy Clustering Algorithm
100%
Cluster Validity
100%
Continuous Change
100%
fuzzy clustering method
100%