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Non-stationary time-series prediction using fuzzy clustering
Amir B. Geva
School of Electrical and Computer Engineering
Research output
:
Contribution to conference
›
Paper
›
peer-review
25
Scopus citations
Overview
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Dive into the research topics of 'Non-stationary time-series prediction using fuzzy clustering'. Together they form a unique fingerprint.
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Keyphrases
Temporal Patterns
100%
Fuzzy Clustering
100%
Time Series Forecasting
100%
Non-stationary Time Series
100%
Stationary States
20%
Prediction Model
20%
Clustering Methods
20%
Training Set
20%
Clustering Analysis
20%
Sliding Window
20%
System Dynamics
20%
Fuzzy Clustering Algorithm
20%
Optimal Fuzzy Clustering
20%
Input Pattern
20%
Number of Clusters
20%
Hybrid Algorithm
20%
Regime Change
20%
Unsupervised Fuzzy Clustering
20%
Hierarchical Feature Selection
20%
One-stationary
20%
Membership Degree
20%
Time Series Forecasting Model
20%
Future Samples
20%
Sliding Widow
20%
Computer Science
Series Prediction
100%
Fuzzy Clustering
100%
Prediction Model
66%
Clustering Analysis
33%
Sliding Window
33%
System Dynamics
33%
Fuzzy Clustering Algorithm
33%
Stationary Nature
33%
Hybrid Algorithm
33%
Stationary State
33%
Time Series Benchmark
33%
Mathematics
Clustering
100%
Time Series Prediction
100%
Stationary Time Series
100%
Clustering Algorithm
25%
Real Life
25%
Training Set
25%
time point η
25%
Stationary State
25%