2D and 3D MDS Solution for Hawaiian InterMarriage Rates.
Rates of intermarriage among 8 ethnic groups in
Hawaii were used by Parkman & Sawyer (1967) to
define distances among these groups which were
studied by MDS techniques.
An illustration of the use of the
GTREE macro to draw a graphic tree
showing the result of a cluster analysis. This example uses intercity
flying distances among cities in the US.
Individual Differences in Color Perception explored with MDS, using
and INDSCAL solution. Data: Helm's data on color
perception in normal and color-blind subjects.
The LINPRO algorithm, which finds scale positions for a set of variables so
that observations have nearly linear profiles, is illustrated with the data on crime rates in US cities.
Similarities of Automobiles.
Uses the MDS procedure to find a multidimensional space to
prepresent the similarities among 11 models of automobiles.
This example illustrates the use of a subsequent cluster analysis as an aid
to interpreting the dimensions.
Similarities of Automobiles.
An illustration of the MDS procedure to find a multidimensional space to
prepresent the similarities among 11 models of automobiles.
Ratings of those automobiles on 12 unidimensional properties are then fit to
the multidimensional space to aid in interpretation of the dimensions,
using the vector model and ideal point model.
Mutation distances among 20 species analyzed with MDS and CLUSTER
The mutation distances were
used by Fitch & Margoliash to derive a phylogenetic
tree.
Dissimilarity data for 25 Natural Concepts.
Distance estimates of 25 natural concepts were obtained from ratings
by psychology undergraduates and biology graduate
students (Schvanaveldt data): The items were chosen
to have both hierarchical and non-hierarchical
relationships, rather than underlying continuous
dimensions.
