Clustering of Time-Series Data
The process of separating groups according to similarities of data is called “clustering.” There are two basic principles: (i) the similarity is the highest within a cluster and (ii) similarity between the clusters is the least. Time-series data are unlabeled data obtained from different periods of...
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| Format: | Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2020
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| Online Access: | https://www.intechopen.com/chapters/65772 |
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