## 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 ✦
Time series of multivariate data in aquatic ecology
✍ Scribed by Miguel Alvarez Cobelas; María Verdugo; Carmen Rojo
- Publisher
- SP Birkhäuser Verlag Basel
- Year
- 1995
- Tongue
- English
- Weight
- 686 KB
- Volume
- 57
- Category
- Article
- ISSN
- 1015-1621
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