论文信息 - A TABLE OF EXPECTED STRESS VALUES FOR RANDOM RANKINGS IN NONMETRIC MULTIDIMENSIONAL SCALING.

A TABLE OF EXPECTED STRESS VALUES FOR RANDOM RANKINGS IN NONMETRIC MULTIDIMENSIONAL SCALING.

The results of applying a nonmetric multidimensional scaling algorithm to sets of pseudo random data are used as the basis for constructing, by means of regression techniques, a table which will assist a user to decide whether empirically obtained data sets are the result of a random process. The table covers the range from 12 to 48 objects (points) for one to five recovered dimensions.

I Spence | J C Ogilvie | J. C. Ogilvie | I. Spence

[1] P. Padmos,et al. QUANTITATIVE INTERPRETATION OF STRESS IN KRUSKAL'S MULTIDIMENSIONAL SCALING TECHNIQUE , 1971 .

[2] Herbert H. Stenson,et al. GOODNESS OF FIT FOR RANDOM RANKINGS IN KRUSKAL'S NONMETRIC SCALING PROCEDURE * , 1969 .

[3] David Klahr,et al. A monte carlo investigation of the statistical significance of Kruskal's nonmetric scaling procedure , 1969 .

[4] Paul D. Isaac,et al. On the determination of appropriate dimensionality in data with error , 1974 .

[5] L. Guttman. A general nonmetric technique for finding the smallest coordinate space for a configuration of points , 1968 .

[6] Ian Spence,et al. A monte carlo evaluation of three nonmetric multidimensional scaling algorithms , 1972 .