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Titlebook: Unsupervised Classification; Similarity Measures, Sanghamitra Bandyopadhyay,Sriparna Saha Textbook 2013 Springer-Verlag Berlin Heidelberg 2

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發(fā)表于 2025-3-21 17:49:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Unsupervised Classification
副標(biāo)題Similarity Measures,
編輯Sanghamitra Bandyopadhyay,Sriparna Saha
視頻videohttp://file.papertrans.cn/943/942521/942521.mp4
概述Describes both well-established and metaheuristic clustering techniques.Offers a theoretical analysis of symmetry-based clustering techniques.Includes extensive real-world applications in remote-sensi
圖書(shū)封面Titlebook: Unsupervised Classification; Similarity Measures, Sanghamitra Bandyopadhyay,Sriparna Saha Textbook 2013 Springer-Verlag Berlin Heidelberg 2
描述.Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature..This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection..The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers
出版日期Textbook 2013
關(guān)鍵詞Bioinformatics; Brain imaging; Clustering; Data mining; Facial recognition; Imaging; Metaheuristics; Multio
版次1
doihttps://doi.org/10.1007/978-3-642-32451-2
isbn_softcover978-3-642-42836-4
isbn_ebook978-3-642-32451-2
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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Sanghamitra Bandyopadhyay,Sriparna Saha modern historical geography of China. His collected papers and speeches, spanning from the 1940s to the 1990s, serve as a window into Hou’s academic experience as well as the development of the historical geography of China during the second half of the 20th century..?.Dr. Hou has made his greatest
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Sanghamitra Bandyopadhyay,Sriparna Sahao the “Physiopathology of the states of consciousness”, there was a place for a description and analysis of the behavioural and EEG modifications which follow the intracarotid injection of sodium Amytal (the modifications, that is, due to an acute and temporary pharmacological hemispherectomy). The
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Point Symmetry-Based Distance Measures and Their Applications to Clustering,f clusters, irrespective of their geometrical shape and overlapping nature, as long as they possess the characteristic of symmetry. GAPS is compared with some existing symmetry-based clustering techniques for several artificial and real-life data sets.
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發(fā)表于 2025-3-23 01:24:06 | 只看該作者
Symmetry-Based Automatic Clustering,of clusters and the proper partitioning from data sets having clusters with widely varying characteristics, irrespective of their convexity, or overlap or size, as long as they possess the property of symmetry. Thereafter a variable string length genetic point symmetry-based fuzzy clustering techniq
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Use of Multiobjective Optimization for Data Clustering,es, namely one based on Euclidean distance, another based on the point symmetry distance, and the third based on a new definition of connectivity between the points, are optimized simultaneously. Concepts of relative neighborhood graph are utilized to compute the connectivity index. Extensive experi
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