The term "clustering or "cluster college has come to mean the division of a large institution into small, relatively independent centers on the same campus. One reason for decentralizing or clustering is to create a structure where students can have a greater chance to discover identity and make comprehensive relationships. (CK)

Investigates the presence of clustering structure in a document collection and the influence of the presence of clustering structure on the success of cluster-based retrieval. Term-weight and similarity thresholds are discussed, empirical and statistical significance are considered, and indexing exhaustivity for document representation is…

Proposes a new approach for classifying text documents into two disjoint classes. Highlights include a brief overview of document clustering; a data mining approach called the One Clause at a Time (OCAT) algorithm which is based on mathematical logic; vector space model (VSM); and comparing the OCAT to the VSM. (Author/LRW)

In this essay, the author "maps" a town that has grown in what was formerly frontier: he looked at twenty-four essays focusing on grammar instruction from "Teaching English in the Two-Year College (TETYC)," published between 1987 and 2006, with a goal of identifying key areas of focus--town squares. While he found several trends and foci, most…

Although a variety of studies have indicated that using statistical clustering techniques to examine genetic information may allow for geographically based groupings of individuals that tenuously map onto some conceptions of race, these studies have also indicated that the amount of genetic variation within these groupings is significantly larger…

Using the cluster generation procedure proposed by D. Steinley and R. Henson (2005), the author investigated the performance of K-means clustering under the following scenarios: (a) different probabilities of cluster overlap; (b) different types of cluster overlap; (c) varying samples sizes, clusters, and dimensions; (d) different multivariate…

This paper describes an attempt to derive an empiracally based method for the classification of leisure activities. (RC)

A procedure for item analysis using distance clustering is described. Items are grouped according to the predominant factors measured, regardless of what they are. The procedure provides an efficient method of treating unanswered items. (Author/RC)

This study was designed to identify the important clusters of occupational groups identifiable from an analysis of the dimensions accounting for similarity in profile shapes among a set of 28 new vocational interest measures. (Author)

Heuristic methods for the construction of term classes are presented and experimental results are obtained to illustrate the usefulness of the method. (Author/PF)

An automatic classification technique has been developed, based on the character structure of words. (Author)