Time Series Clustering and Classification (e-bog) af Caiado, Jorge
Caiado, Jorge (forfatter)

Time Series Clustering and Classification e-bog

403,64 DKK (inkl. moms 504,55 DKK)
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...
E-bog 403,64 DKK
Forfattere Caiado, Jorge (forfatter)
Udgivet 19 marts 2019
Længde 228 sider
Genrer KCHS
Sprog English
Format epub
Beskyttelse LCP
ISBN 9780429603303
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.FeaturesProvides an overview of the methods and applications of pattern recognition of time seriesCovers a wide range of techniques, including unsupervised and supervised approachesIncludes a range of real examples from medicine, finance, environmental science, and moreR and MATLAB code, and relevant data sets are available on a supplementary website