Milligan presented the conditions that are required for a hierarchical clustering strategy to be monotonic, based on a formula by Lance and Williams. The statement of the conditions is improved and shown to provide necessary and sufficient conditions. (Author/GK)

A strategy for reordering the hierarchical tree structure is presented. While the order of terminal nodes of Johnson's procedure is arbitrary, this procedure will rearrange every triad of nodes under a common least upper node so that the middle node is nonarbitrarily closest to the anchored node. (Author/CTM)

Two-dimensional euclidean planes and additive trees are two of the most common representations of proximity data for multidimensional scaling. Guidelines for comparing these representations and discovering properties that could help identify which representation is more appropriate for a given data set are presented. (Author/JKS)

Introduces a new approach for partitioning test items into dimensionally distinct item clusters. The core of this approach is a new item-pair conditional-covariance-based proximity measure that can be used with hierarchical cluster analysis. The procedure can correctly classify, on average, over 90% of the items for correlations as high as 0.9.…

Measuring object similarity using the method of free clustering is gaining in popularity. Instructions are usually simple and since no structure is imposed on the subject's selection, response bias is reduced. More importantly, measures of object similarity derived from the judges' clustering can be adequately analyzed by the methods of…

A new computing algorithm, MAPCLUS (Mathematical Programming Clustering), for fitting the Shephard-Arabie ADCLUS (Additive Clustering) model is presented. Details and benefits of the algorithm are discussed. (Author/JKS)

Correspondence analysis can provide spatial or clustering representations by assigning spatial coordinates minimizing the distance between individuals linked by a sociometric relationship. These scales may then be used to identify individuals' locations in a multidimensional representation of a group's structure or to reorder the rows and columns…

Analyzed queries submitted to the Excite search engine for subject content based on the cooccurrence of terms within multiterm queries; categorized the most frequently cooccurring term pairs into subject areas; used hierarchical cluster analysis and multidimensional scaling to tally subject area frequencies; and discusses implications for Internet…

This report describes the multidimensional scaling (MDS) method for interpreting collection overlap based on the number of books held by pairs of libraries in large groups (as many as 100 libraries or more). MDS results for four groups of libraries sampled from the OCLC database are also presented. MDS is described as a class of data-analytic or…

The purpose of this paper is to examine the capabilities of various procedures for sorting dichotomously-scored items into unidimensional subjects. The procedures include: factor analysis, nonmetric multidimensional scaling, cluster analysis, and latent trait analysis. Both simulated and real data sets of known structure were used to evaluate the…

The present study focuses on multiple dimensions of face-to-face marriage interaction as the basis for identifying patterns or "types" of couple relating. The research assumes that it is possible to classify marriage relationships by criteria which are objective enough to allow replication and concensus. Particular emphasis is placed on the…

The relationship between personality traits of learning disabled children and their neuropsychological performance were examined in this study. Intellectual, academic, and neuropsychological measures were used to derive three subgroups. Personality and behavioral data were used to identify four dimensions, which are discussed in terms of…

Author cocitation analysis was used to investigate changes in intellectual structure of macroeconomics over two consecutive time periods, 1972-1977 and 1978-1983. Profile analysis, nonmetric multidimensional scaling, and clustering techniques were used to create two-dimensional maps displaying changing relationships among 41 authors as perceived…

Reports research that utilized multidimensional scaling and related analytic procedures to validate the curricular goals of a graduate therapeutic recreation program. Data analysis includes the use of the two-dimensional KYST and PREFMAP spaces. (Author/JD)

Uses co-occurrence analysis of INSPEC classification codes and thesaurus terms assigned to medical informatics (biomedical information) journal articles and proceedings papers to reveal a more complete perspective of how information science and information technology (IS/IT) authors view medical informatics. Discusses results of cluster analysis…