Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Clustering: A Data Recovery Approach, Second Edition (Chapman & Hall/CRC Computer Science & Data Analysis)

Buy

Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods―K-Means for partitioning and Ward's method for hierarchical clustering―have lacked the theoretical underpinning required to establish a firm relationship between the two methods and relevant interpretation aids. Other approaches, such as spectral clustering or consensus clustering, are considered absolutely unrelated to each other or to the two above mentioned methods.

Clustering: A Data Recovery Approach, Second Edition presents a unified modeling approach for the most popular clustering methods: the K-Means and hierarchical techniques, especially for divisive clustering. It significantly expands coverage of the mathematics of data recovery, and includes a new chapter covering more recent popular network clustering approaches―spectral, modularity and uniform, additive, and consensus―treated within the same data recovery approach. Another added chapter covers cluster validation and interpretation, including recent developments for ontology-driven interpretation of clusters. Altogether, the insertions added a hundred pages to the book, even in spite of the fact that fragments unrelated to the main topics were removed.

Illustrated using a set of small real-world datasets and more than a hundred examples, the book is oriented towards students, practitioners, and theoreticians of cluster analysis. Covering topics that are beyond the scope of most texts, the author’s explanations of data recovery methods, theory-based advice, pre- and post-processing issues and his clear, practical instructions for real-world data mining make this book ideally suited for teaching, self-study, and professional reference.

(HTML tags aren't allowed.)

A Matrix Handbook for Statisticians (Wiley Series in Probability and Statistics)
A Matrix Handbook for Statisticians (Wiley Series in Probability and Statistics)
A comprehensive, must-have handbook of matrix methods with a unique emphasis on statistical applications

This timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic treatment of matrices as they relate to both statistical concepts and methodologies. Written by an experienced authority on matrices and...

D Cookbook
D Cookbook

For experienced programmers this book is a journey into D, the language that can dramatically improve your productivity and capabilities. Learning is engaging and straightforward, thanks to the ‘How to do it’/’How it works’ approach.

Overview

  • Leverage D to write efficient and...
Programming Languages: Principles and Practices
Programming Languages: Principles and Practices

Kenneth Louden and Kenneth Lambert's new edition of PROGRAMMING LANGUAGES: PRINCIPLES AND PRACTICE, 3E gives advanced undergraduate students an overview of programming languages through general principles combined with details about many modern languages. Major languages used in this edition include C, C++, Smalltalk, Java, Ada, ML,...


Linear Programming: Foundations and Extensions (International Series in Operations Research & Management Science)
Linear Programming: Foundations and Extensions (International Series in Operations Research & Management Science)
Linear Programming: Foundations and Extensions is an introduction to the field of optimization. The book emphasizes constrained optimization, beginning with a substantial treatment of linear programming, and proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization.

The book is...

Apache The Definitive Guide, 3rd Edition
Apache The Definitive Guide, 3rd Edition
Updated to cover the changes in Apache's latest release, 2.0, as well as Apache 1.3, this useful guide discusses how to obtain, set up, secure, modify, and troubleshoot the Apache software on both Unix and Windows systems. In addition to covering the installation and configuration of mod_perl and Tomcat, the book examines PHP,...
Model-Based Development: Applications
Model-Based Development: Applications

A Proven Development Methodology That Delivers On the Promise of Model-Based Approaches

Software continues to become more and more complex, while software consumers’ expectations for performance, reliability, functionality, and speed-to-market are also growing exponentially. H. S. Lahman shows how...

©2021 LearnIT (support@pdfchm.net) - Privacy Policy