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Non-stationary time-series prediction using fuzzy clustering
Amir B. Geva
Department of Electrical & Computer Engineering
Research output
:
Contribution to conference
›
Paper
›
peer-review
24
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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Mathematics
Time Series Prediction
100%
Fuzzy Clustering
93%
Non-stationary Time Series
91%
Time series
57%
Prediction Model
23%
Unsupervised Clustering
16%
Fuzzy Algorithm
14%
Clustering Analysis
14%
Sliding Window
13%
Clustering Algorithm
12%
Hybrid Algorithm
11%
Number of Clusters
11%
Stationary States
10%
Grouping
10%
Time Series Models
10%
Switch
9%
Training
9%
Dynamic Systems
9%
Benchmark
9%
Clustering
8%
Life
8%
Series
5%
Engineering & Materials Science
Fuzzy clustering
73%
Time series
55%
Clustering algorithms
6%
Dynamical systems
5%
Switches
5%