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Mathematics of data science: a computational approach to clustering and classification

Mathematics of data science: a computational approach to clustering and classification
Catalogue Information
Field name Details
Dewey Class 005.7
Title Mathematics of data science (M) : a computational approach to clustering and classification / Daniela Calvetti, Erkki Somersalo
Author Calvetti, Daniela
Added Personal Name Somersalo, Erkki , 1960-
Publication Philadelphia : Siam , 2021
Physical Details x, 189 pages : ill. ; 25 cm
Series Data science book series
ISBN 9781611976366
Summary Note "This book is on the mathematics of data science, thus the mathematical perspective will shape the presentation of the material, without forgetting the data science driver behind it. Three important themes of data science are data reduction and visualization, clustering and classification. It is well known that behind these and numerous other techniques in data science there is mathematics that makes things work. In this book, these themes are approached, mainly, but not solely, from a linear algebra point of view. With this perspective in mind, the present book consists of a preface and twelve chapters, while at the end of the book the bibliography and an index are provided. Moreover, at the end of each chapter some notes and comments are given, which will help a reader wishing to pursue the area of each chapter further. In the sequel, the subject of each one of the twelve chapters is briefly presented."-- provided by publisher:
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Catalogue Information 52566 Beginning of record . Catalogue Information 52566 Top of page .
Item Information
Barcode Shelf Location Collection Volume Ref. Branch Status Due Date
0000000044701 519.220 CAL
General   SISSA . . Available .  
. Catalogue Record 52566 ItemInfo Beginning of record . Catalogue Record 52566 ItemInfo Top of page .

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