EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"Dissimilarity data"
Narrow search

Narrow search

Year of publication
Subject
All
Dissimilarity data 2 Assignment measures 1 Assignment-Prototype Algorithm 1 Axiomatic evaluation 1 Biodiversity measures 1 Cluster analysis 1 INDSCAL 1 Numerical classification 1 Proximity data 1 Quantitative assessment 1 Species level 1 heterogeneous dissimilarities data 1 mixture of INDSCAL models 1 three-way dissimilarity data 1
more ... less ...
Online availability
All
Undetermined 3
Type of publication
All
Article 3
Language
All
Undetermined 3
Author
All
Bocci, Laura 1 Gerber, Nicolas 1 Vichi, Maurizio 1 Windham, Michael 1
Published in...
All
Ecological Economics 1 Journal of Classification 1 Psychometrika 1
Source
All
RePEc 3
Showing 1 - 3 of 3
Cover Image
The K-INDSCAL Model for Heterogeneous Three-Way Dissimilarity Data
Bocci, Laura; Vichi, Maurizio - In: Psychometrika 76 (2011) 4, pp. 691-714
Persistent link: https://www.econbiz.de/10009400066
Saved in:
Cover Image
Biodiversity measures based on species-level dissimilarities: A methodology for assessment
Gerber, Nicolas - In: Ecological Economics 70 (2011) 12, pp. 2275-2281
-level dissimilarity data. The data can be used in its raw form, regardless of its origin (e.g. studies of morphological traits, DNA …
Persistent link: https://www.econbiz.de/10011043696
Saved in:
Cover Image
Numerical classification of proximity data with assignment measures
Windham, Michael - In: Journal of Classification 2 (1985) 1, pp. 157-172
Persistent link: https://www.econbiz.de/10005757480
Saved in:
A service of the
zbw
FAQ-Assistent (beta)
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...