Titlebook: Classification and Clustering for Knowledge Discovery; Saman Halgamuge,Lipo Wang Book 2005 Springer-Verlag Berlin Heidelberg 2005 Extensio

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SpringerBriefs in Computer Scienceg map) learning methods. This research is a longitudinal comparison of the effect of supervised and unsupervised learning methods on the groupings of patients. The results for the four-year study indicate that the learning paradigms appear to group patients similarly according to their resource consumption.

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A Probabilistic Approach to Mining Fuzzy Frequent Patterns,ates of frequency on the basis of repeated counting. The number of iterations is usually much lower than with the Apriori method. The number of candidates is typically 1–3 times the number of frequent fuzzy itemsets. Though probabilistic, the algorithm finds the precise result to the problem.

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Comparison Between Five Classifiers for Automatic Scoring of Human Sleep Recordings, and its variability is obtained (optimistically and pessimistically). Data transformations toward normal distribution are explored as an approach to deal with extreme values. It is shown that these transformations improve significantly the results of the classifiers based on data proximity.

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Serendipity in Text and Audio Information Spaces: Organizing and Exploring High-Dimensional Data wie universal potential of this architecture, we present the automatic, content-based organization of two different types of repositories with diverse characteristics, the first being a collection of newspaper articles and the second being a music collection.

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