## Abstract A new methodology for clustering multivariate time‐series data is proposed. The new methodology is based on calculating the degree of similarity between multivariate time‐series datasets using two similarity factors. One similarity factor is based on principal component analysis and the
✦ LIBER ✦
Clustering of time series data—a survey
✍ Scribed by T. Warren Liao
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 323 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0031-3203
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