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Time Series Clustering and Classification includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students.
Features
Provides an overview of the methods and applications of pattern recognition of time series
Covers a wide range of techniques, including unsupervised and supervised approaches
Includes a range of real examples from medicine, finance, environmental science, and more
R and MATLAB code, and relevant data sets are available on a supplementary website
Time Series Clustering and Classification includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification methods, and machine learning methods. It presents a broad and self-contained overview of techniques for both researchers and students.
Features
Provides an overview of the methods and applications of pattern recognition of time series
Covers a wide range of techniques, including unsupervised and supervised approaches
Includes a range of real examples from medicine, finance, environmental science, and more
R and MATLAB code, and relevant data sets are available on a supplementary website
1. Introduction 2. Time Series Features and Models 3. Traditional cluster analysis 4. Fuzzy clustering 5. Observation-based clustering 6. Feature-based clustering 7. Model-based clustering 8. Other time series clustering approaches 9. Feature-based classification approaches 10. Other time series classification approaches 11.Software and Data Sets
| Medium: | Taschenbuch |
|---|---|
| ISBN-13: | 9781032093499 |
| ISBN-10: | 1032093498 |
| Sprache: | Englisch |
| Autor: |
Maharaj, Elizabeth Ann
D'Urso, Pierpaolo Caiado, Jorge |
| Hersteller: |
Taylor & Francis
Chapman and Hall/CRC |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Abbildungen: | 46 SW-Abb. |
| Maße: | 14 x 156 x 234 mm |
| Von/Mit: | Elizabeth Ann Maharaj (u. a.) |
| Gewicht: | 0,38 kg |
1. Introduction 2. Time Series Features and Models 3. Traditional cluster analysis 4. Fuzzy clustering 5. Observation-based clustering 6. Feature-based clustering 7. Model-based clustering 8. Other time series clustering approaches 9. Feature-based classification approaches 10. Other time series classification approaches 11.Software and Data Sets
| Medium: | Taschenbuch |
|---|---|
| ISBN-13: | 9781032093499 |
| ISBN-10: | 1032093498 |
| Sprache: | Englisch |
| Autor: |
Maharaj, Elizabeth Ann
D'Urso, Pierpaolo Caiado, Jorge |
| Hersteller: |
Taylor & Francis
Chapman and Hall/CRC |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Abbildungen: | 46 SW-Abb. |
| Maße: | 14 x 156 x 234 mm |
| Von/Mit: | Elizabeth Ann Maharaj (u. a.) |
| Gewicht: | 0,38 kg |
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