Cluster analysis is used in data mining and is a common technique
for statistical data analysis used in many fields of study, such as
the medical & life sciences, behavioral & social sciences,
engineering, and in computer science. Designed for training
industry professionals or for a course on clustering and
classification, it can also be used as a companion text for applied
statistics. No previous experience in clustering or data mining is
assumed. Informal algorithms for clustering data and interpreting
results are emphasized. In order to evaluate the results of
clustering and to explore data, graphical methods and data
structures are used for representing data. Throughout the text,
examples and references are provided, in order to enable the
material to be comprehensible for a diverse audience. A companion
disc includes numerous appendices with programs, data, charts,
solutions, etc. eBook Customers: Companion files are available for
downloading with order number/proof of purchase by writing to the
publisher at
[email protected]. Features: Places emphasis on
illustrating the underlying logic in making decisions during the
cluster analysis Discusses the related applications of statistic,
e.g., Ward's method (ANOVA), JAN (regression analysis &
correlational analysis), cluster validation (hypothesis testing,
goodness-of-fit, Monte Carlo simulation, etc.) Contains separate
chapters on JAN and the clustering of categorical data Includes a
companion disc with solutions to exercises, programs, data sets,
charts, etc.
General
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