Time Series Clustering and Classification(Chapman & Hall/CRC Computer Science & Data Analysis)

理论统计学

原   价:
2053.00
售   价:
1642.00
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平台大促 低至8折优惠
发货周期:预计5-7周发货
作      者
出  版 社
出版时间
2019年03月18日
装      帧
ISBN
9781498773218
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页      码
228
开      本
6-1/8 x 9-1/4
语      种
英文
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图书简介
The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for clustering and classifying different types of large datasets, including time series data. 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
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