Synopses & Reviews
Synopsis
This book presents and demonstrates the use of functions within a MATLAB computational environment. The representations included in the book have been developed primarily in the behavioral sciences and applied statistical literature, although interest in these topics now extends to such fields as bioinformatics and chemometrics.
Table of Contents
Preface; Part I. (Multi- and Unidimensional) City-Block Scaling: 1. Linear unidimensional scaling; 2. Linear multidimensional scaling; 3. Circular scaling; 4. LUS for two-mode proximity data; Part II. The Representation of Proximity Matrices by Tree Structures: 5. Ultrametrics for symmetric proximity data; 6. Additive trees for symmetric proximity data; 7. Fitting multiple tree structures to a symmetric sroximity matrix; 8. Ultrametrics and additive trees for two-mode (rectangular) proximity data; Part III. The Representation of Proximity Matrices by Structures Dependent on Order (Only): 9. Anti-Robinson matrices for symmetric proximity data; 10. Circular anti-Robinson matrices for symmetric proximity data; 11. Anti-Robinson matrices for two-mode proximity data; Appendix; Bibliography; Indices.