Mathematics of Data Science: A Computational Approach to Clustering and Classification

Daniela Calvetti (author) & Erkki Somersalo (author)

ISBN 10: 1611976367 / ISBN 13: 9781611976366

Published by SIAM - Society for Industrial and Applied Mathematics, 2021

About this Item

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Bibliographic Details

• Title: Mathematics of Data Science: A Computational Approach to Clustering and Classification
• Publisher: SIAM - Society for Industrial and Applied Mathematics
• Publication Date: 2021
• Language: English
• ISBN 10: 1611976367
• ISBN 13: 9781611976366
• Binding: Soft cover
• Condition: very_good

About this title

Synopsis

This textbook provides a solid mathematical basis for understanding popular data science algorithms for clustering and classification and shows that an in-depth understanding of the mathematics powering these algorithms gives insight into the underlying data. It presents a step-by-step derivation of these algorithms, outlining their implementation from scratch in a computationally sound way.

Mathematics of Data Science: A Computational Approach to Clustering and Classification

• proposes different ways of visualizing high-dimensional data to unveil hidden internal structures, and
• includes graphical explanations and computed examples using publicly available data sets in nearly every chapter to highlight similarities and differences among the algorithms.