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Zhang, Yi – ProQuest LLC, 2011
Due to the rapid advances in computing and sensing technologies, enormous amounts of data are being generated everyday in various applications. The integration of data mining and data visualization has been widely used to analyze these massive and complex data sets to discover hidden patterns. For both data mining and visualization to be…
Descriptors: Information Technology, Data Processing, Data Analysis, Information Retrieval

McQuitty, Louis L.; Koch, Valerie L. – Educational and Psychological Measurement, 1976
A relatively reliable and valid hierarchy of clusters of objects is plotted from the highest column entries, exclusively, of a matrix of interassociations between the objects. Having developed out of a loose definition of types, the method isolates both loose and highly definitive types, and all those in between. (Author/RC)
Descriptors: Cluster Analysis, Cluster Grouping, Comparative Analysis, Data Analysis

McCain, Katherine W. – Journal of the American Society for Information Science, 1990
Presents an overview of current data gathering and analytical techniques for author cocitation analysis (ACA). Highlights include selection of the author set; retrieval of cocited author counts; multivariate analyses, including multidimensional scaling; data display techniques; an example for macroeconomics; interpretation and validation of…
Descriptors: Authors, Citation Analysis, Cluster Grouping, Computer Graphics
Brown, R. L. – 1984
The plotting of multivariate data using computer line-printers has become a popular means of quickly representing multidimensional data. While many plotting programs are available, there is a paucity of research regarding the validity and reliability of interpretations made by viewing such graphics. This study explores the validity of four…
Descriptors: Cluster Grouping, Computer Graphics, Computer Simulation, Data Analysis