Applied Multidimensional Scaling and Unfolding
This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is...
Κύριοι συγγραφείς: | , , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
Έκδοση: | 2nd ed. 2018. |
Σειρά: | SpringerBriefs in Statistics,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 1 First steps
- 2 The purpose of MDS and Unfolding
- 3 The fit of MDS and Unfolding solutions
- 4 Proximities
- 5 Variants of MDS models
- 6 Confirmatory MDS
- 7 Typical mistakes in MDS
- 8 Unfolding
- 9 MDS algorithms
- 10 MDS Software
- Subject Index.