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Can I read The Structural Representation of Proximity Matrices With Matlab (ASA-SIAM Series on Statistics and Applied Probability) (ASA-SIAM Series on Statistics and Applied Probability, Series Number 19) on EtoBox?

The Structural Representation of Proximity Matrices With Matlab (ASA-SIAM Series on Statistics and Applied Probability) (ASA-SIAM Series on Statistics and Applied Probability, Series Number 19) by Lawrence Hubert, Phipps Arabie, Jacqueline Meulman, Lawrence J. Hubert is a nonfiction available to read on EtoBox.

What is The Structural Representation of Proximity Matrices With Matlab (ASA-SIAM Series on Statistics and Applied Probability) (ASA-SIAM Series on Statistics and Applied Probability, Series Number 19) about?

The Structural Representation of Proximity Matrices with MATLAB presents and demonstrates the use of functions (by way of M-files) within a MATLAB computational environment to effect a variety of structural representations for the proximity information that is assumed to be available on a set of objects. The representations included in the book have been developed primarily in the behavioral sciences and applied statistical literature (e.g., in psychometrics and classification), although interest in these topics now extends more widely to such fields as bioinformatics and chemometrics. Throughout the book, two kinds of proximity information are analyzed: one-mode and two-mode. One-mode proximity data are defined between the objects from a single set and are usually given in the form of a square symmetric matrix; two-mode proximity data are defined between the objects from two distinct sets and are given in the form of a rectangular matrix. In addition, there is typically the flexibility to allow the additive fitting of multiple structures to either the given one- or two-mode proximity information. This book is divided into three main sections, each based on the general cl

Who reads The Structural Representation of Proximity Matrices With Matlab (ASA-SIAM Series on Statistics and Applied Probability) (ASA-SIAM Series on Statistics and Applied Probability, Series Number 19)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Lawrence Hubert, Phipps Arabie, Jacqueline Meulman, Lawrence J. Hubert
Publisher
Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
Published
2006
Language
EN
ISBN
9780898716078
Category
nonfiction
Subjects
Mathematics, Computer Science, Stem

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