Non-Standard Parameter Adaptation for Exploratory Data Analysis 2009th Edition

Ebook Details

Authors

Wesam Ashour Barbakh, Ying Wu, Colin Fyfe

Year 2009
Pages 223
Publisher Springer
Language en
ISBN 9783642040047
File Size 4.44 MB
File Format PDF
Download Counter 183
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Ebook Description

Exploratory data analysis, also known as data mining or knowledge discovery from databases, is typically based on the optimisation of a specific function of a dataset. Such optimisation is often performed with gradient descent or variations thereof. In this book, we first lay the groundwork by reviewing some standard clustering algorithms and projection algorithms before presenting various non-standard criteria for clustering. The family of algorithms developed are shown to perform better than the standard clustering algorithms on a variety of datasets.