Petra P. (ed.)'s Advances In Data Mining: Applications in Image Mining, PDF

By Petra P. (ed.)

ISBN-10: 3540301852

ISBN-13: 9783540301851

This e-book constitutes the completely refereed post-proceedings of the 4th commercial convention on information Mining, ICDM 2004, held in Leipzig, Germany on July 2004.The convention used to be all in favour of complex info mining purposes in snapshot mining, medication and bioinformatics, administration and environmental keep an eye on, and telecommunications. The 18 revised complete papers awarded have been conscientiously chosen in the course of rounds of reviewing and development. The papers are prepared in topical sections on case-based reasoning, photo mining, functions in approach keep an eye on and assurance, clustering and organization ideas, telecomunications, and medication and biotechnology.

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Maximum Likelihood Hebbian Learning algorithm automatically groups the instances into clusters, grouping together those of similar structure. This technique is a classification and visualisation tool for high dimensional data on a low dimensional display. One of the advantages of this technique is that it is an unsupervised method so we do not need to have any information about the data beforehand. When a new instance is presented to the IBR system, it is identified as belonging to a particular cluster.

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Advances In Data Mining: Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications by Petra P. (ed.)

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