Abstract
[Extract]
Clustering and classification of time series data, which is quite often used in pattern recognition, has always been a challenging task for data analysts. This book, Time Series Clustering and Classification, is published by Chapman & Hall/CRC Press as part of their Computer Science & Data Analysis Series. The authors have used a wide range of techniques and tools for supervised as well as unsupervised learning, which may be useful in the big data analysis. The authors have used examples from different areas like finance, medicine, environmental science and so on, to demonstrate the various algorithms and techniques.
Original language | English |
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Pages (from-to) | 400 |
Number of pages | 1 |
Journal | Journal of the Royal Statistical Society. Series A: Statistics in Society |
Volume | 184 |
Issue number | 1 |
Early online date | 6 Dec 2020 |
DOIs | |
Publication status | Published - Jan 2021 |