<--- Back to Details
First PageDocument Content
Market research / Psychometrics / Ordination / Cluster analysis / Detrended correspondence analysis / Analysis / Plot / Multidimensional scaling / Statistical classification / Statistics / Multivariate statistics / Machine learning
Date: 2007-08-28 12:52:39
Market research
Psychometrics
Ordination
Cluster analysis
Detrended correspondence analysis
Analysis
Plot
Multidimensional scaling
Statistical classification
Statistics
Multivariate statistics
Machine learning

Microsoft Word - classification_update.doc

Add to Reading List

Source URL: n-steps.tetratech-ffx.com

Download Document from Source Website

File Size: 127,58 KB

Share Document on Facebook

Similar Documents

CorrelatedMultiples: Spatially Coherent Small Multiples with Constrained Multidimensional Scaling Xiaotong Liu, Yifan Hu, Stephen North, Teng-Yok Lee, Han-Wei Shen Fig. 1. The Dow Jones Industrial Average (DJIA) from 189

DocID: 1vkcw - View Document

A Fast Approximation to Multidimensional Scaling Tynia Yang1 , Jinze Liu1 , Leonard McMillan1 , and Wei Wang1 University of Chapel Hill at North Carolina, Chapel Hill NC 27599, USA {tynia, liuj, mcmillan, weiwang}@cs.unc

DocID: 1v2X3 - View Document

A Fast Approximation to Multidimensional Scaling Tynia Yang1 , Jinze Liu1 , Leonard McMillan1 , and Wei Wang1 University of Chapel Hill at North Carolina, Chapel Hill NC 27599, USA {tynia, liuj, mcmillan, weiwang}@cs.unc

DocID: 1uBs1 - View Document

Interpolative Multidimensional Scaling Techniques for the Identification of Clusters in Very Large Sequence Sets Adam Hughes1, §, Yang Ruan1,2, Saliya Ekanayake1,2, Seung-Hee Bae1,2, Qunfeng Dong3, Mina Rho2, Judy Qiu1,

DocID: 1tqLN - View Document

Semantics / Cognition / Cognitive science / Academia / Prototype theory / Multidimensional scaling / Recall / Semantic domain / Salience

http://dx.doi.orgFEJF2016.64.colour FROM LISTING DATA TO SEMANTIC MAPS: CROSS-LINGUISTIC COMMONALITIES IN COGNITIVE REPRESENTATION OF COLOUR Mari Uusküla, David Bimler

DocID: 1rrnL - View Document