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Three Way Scaling: A Guide to Multidimensional Scaling and Clustering, Vol. 65 Book

Three Way Scaling: A Guide to Multidimensional Scaling and Clustering, Vol. 65
Three Way Scaling: A Guide to Multidimensional Scaling and Clustering, Vol. 65, , Three Way Scaling: A Guide to Multidimensional Scaling and Clustering, Vol. 65 has a rating of 3 stars
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Three Way Scaling: A Guide to Multidimensional Scaling and Clustering, Vol. 65, , Three Way Scaling: A Guide to Multidimensional Scaling and Clustering, Vol. 65
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  • Three Way Scaling: A Guide to Multidimensional Scaling and Clustering, Vol. 65
  • Written by author Douglas Carroll
  • Published by SAGE Publications, July 1987
  • This volume is a logical extension of #11, Multidimensional Scaling, providing an up-to-date overview of some three-way modesl for multidimensional scaling and related techniques.104
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Authors

Series Editor's Introduction5
Acknowledgments6
1.Introduction7
Terminology8
2.Illustrative Application of INDSCAL12
Design of Rosenberg and Kim's (1975) Experiment12
The Data13
Interpretation of the Results14
3.The INDSCAL Model17
Inherently Unique Orientation of an INDSCAL Object Space21
Noteworthy Patterns of Source Weights24
A Second Example: The Miller and Nicely (1955) Data25
Interpretation of Miller-Nicely Object Space27
Interpretation of Miller-Nicely Source Space29
The Role of Source Weights in Presenting an INDSCAL Analysis32
4.Decisions to Be Made in Running SINDSCAL Analyses33
Matrix (Un)conditionality33
Dimensionality and Required Amounts of Data35
Number of Iterations37
Initial (or "Starting") Configuration39
Constrained Solutions40
Variance Accounted For (VAF)40
Additional Points Concerning SINDSCAL's Output42
Diagnostics43
5.Other Three-Way MDS Spatial Representations44
The IDIOSCAL Model and Some Special Cases44
PARAFAC-145
MULTISCALE46
ALSCAL48
TUCKALS350
6.Three-Way ("Individual Differences") Clustering53
Choosing a Method of Clustering54
The (Two-Way) ADCLUS Model for Overlapping, Nonhierarchical Clustering55
INDCLUS: A Clustering Counterpart to INDSCAL57
Fitting the INDCLUS Model59
Example: Rosenberg and Kim's (1975) Data61
Future Prospects64
7Software for Three-Way MDS64
Appendix AControl Parameters for a SINDSCAL Analysis of Miller-Nicely Data66
Setting Up Control Cards for SINDSCAL68
Optional Configuration for Objects' Coordinates70
Appendix BThe Carroll-Chang-Pruzansky Approach to Fitting the INDSCAL Model71
Converting the Proximities to Estimated Distances71
Conversion of Estimated Distances to Estimated Scalar Products72
The INDSCAL Model in Scalar Product Form75
An Algorithm for Fitting the CANDECOMP Model in the Three-Way Case76
Direct Scalar Products Data (Called "Correlations or Covariances") in SINDSCAL77
Appendix CThe Multiscale II Procedure for Fitting the INDSCAL Model78
Appendix DThe ALSCAL Procedure for Fitting the INDSCAL Model80
Initialization Phase81
Optimal Scaling Phase81
Termination Phase83
Model Estimation Phase83
Estimate W83
Estimation Procedure for X83
References84
About the Authors90


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