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Data Science Foundations Geometry and Topology of Complex Hierar...

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Data Science Foundations Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开本资源转载自网络，如有侵权，请联系上传者或csdn删除查看此书详细信息请在美国亚马逊官网搜索此书

DATA SCIENCE

FOUNDATIONS

Geometry and Topology

of Complex Hierarchic Systems

and Big Data Analytics

Chapman & Hall/CRC

Computer Science and Data Analysis Series

The interface between the computer and statistical sciences is increasing, as each

discipline seeks to harness the power and resources of the other. This series aims to

foster the integration between the computer sciences and statistical, numerical, and

probabilistic methods by publishing a broad range of reference works, textbooks, and

handbooks.

SERIES EDITORS

David Blei, Princeton University

David Madigan, Rutgers University

Marina Meila, University of Washington

Fionn Murtagh, Royal Holloway, University of London

Proposals for the series should be sent directly to one of the series editors above, or submitted to:

Chapman & Hall/CRC

Taylor and Francis Group

3 Park Square, Milton Park

Abingdon, OX14 4RN, UK

Published Titles

Semisupervised Learning for Computational Linguistics

Steven Abney

Visualization and Verbalization of Data

Jörg Blasius and Michael Greenacre

Design and Modeling for Computer Experiments

Kai-Tai Fang, Runze Li, and Agus Sudjianto

Microarray Image Analysis: An Algorithmic Approach

Karl Fraser, Zidong Wang, and Xiaohui Liu

R Programming for Bioinformatics

Robert Gentleman

Exploratory Multivariate Analysis by Example Using R

François Husson, Sébastien Lê, and Jérôme Pagès

Bayesian Articial Intelligence, Second Edition

Kevin B. Korb and Ann E. Nicholson

Computational Statistics Handbook with MATLAB

, Third Edition

Wendy L. Martinez and Angel R. Martinez

Exploratory Data Analysis with MATLAB

Third Edition

Wendy L. Martinez, Angel R. Martinez, and Jeffrey L. Solka

Statistics in MATLAB

: A Primer

Wendy L. Martinez and MoonJung Cho

Clustering for Data Mining: A Data Recovery Approach, Second Edition

Boris Mirkin

Introduction to Machine Learning and Bioinformatics

Sushmita Mitra, Sujay Datta, Theodore Perkins, and George Michailidis

Introduction to Data Technologies

Paul Murrell

R Graphics

Paul Murrell

Correspondence Analysis and Data Coding with Java and R

Fionn Murtagh

Data Science Foundations: Geometry and Topology of Complex Hierarchic

Systems and Big Data Analytics

Fionn Murtagh

Pattern Recognition Algorithms for Data Mining

Sankar K. Pal and Pabitra Mitra

Statistical Computing with R

Maria L. Rizzo

Statistical Learning and Data Science

Mireille Gettler Summa, Léon Bottou, Bernard Goldfarb, Fionn Murtagh,

Catherine Pardoux, and Myriam Touati

Music Data Analysis: Foundations and Applications

Claus Weihs, Dietmar Jannach, Igor Vatolkin, and Günter Rudolph

Foundations of Statistical Algorithms: With References to R Packages

Claus Weihs, Olaf Mersmann, and Uwe Ligges

Published Titles cont.

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Data Science Foundations Geometry and Topology of Complex Hierar...

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