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Springer - Combinatorial and Statistical Data Analysis Book

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Description

Expand your knowledge of data science with Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering. Published by Springer as part of the Advanced Information and Knowledge Processing series, this book provides a broad exploration of fundamental methods within these active fields. It presents new formulations and ideas designed to deepen your understanding of the relationships between logical, combinatorial, and statistical methods. Each section includes extensive introductions and formal mathematical developments to support your learning. By using relational mathematical representation, the text allows for the handling of all types of data structures. Readers can also benefit from real case studies that apply these complex concepts to practical scenarios. This resource is an essential addition for those studying the intersection of clustering and combinatorial analysis.

Key Features

Explores fundamental methods in Clustering and Combinatorial Data Analysis through new formulations and ideas.

Provides a deep understanding of the connections between logical, combinatorial, and statistical facets.

Includes extensive introductions and formal mathematical developments to support advanced learning.

Utilizes relational mathematical representation to handle all types of data structures effectively.

Features real case studies to demonstrate how these methods apply to practical data scenarios.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 April 2018
Listed Since
14 April 2018

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