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GeoEntropy: A measure of complexity and similarity
School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT 2600, Australia.ORCID iD: 0000-0002-4255-5130
2010 (English)In: Pattern Recognition, ISSN 0031-3203, E-ISSN 1873-5142, Vol. 43, no 3, 887-896 p.Article in journal (Refereed) Published
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Abstract [en]

Measuring the complexity of a pattern expressed either in time or space has been introduced to quantify the information content of the pattern, which can then be applied for classification. Such information measures are particularly useful for the understanding of systems complexity in many fields of sciences, business and engineering. The novel concept of geostatistical entropy (GeoEntropy) as a measure of pattern complexity and similarity is addressed in this paper. It has been experimentally shown that GeoEntropy is an effective algorithm for studying signal predictability and has superior capability of classifying complex bio-patterns.

Place, publisher, year, edition, pages
Elsevier, 2010. Vol. 43, no 3, 887-896 p.
Keyword [en]
Complexity; Similarity; Entropy; Geostatistics; Prediction; Classification
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-127831DOI: 10.1016/j.patcog.2009.08.015OAI: oai:DiVA.org:liu-127831DiVA: diva2:930666
Available from: 2016-05-25 Created: 2016-05-13 Last updated: 2016-06-10

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Pham, Tuan D
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