This book provides the reader with a basic understanding of the formal concepts of the cluster, clustering, partition, cluster analysis etc. The book explains feature-based, graph-based and spectral clustering methods and discusses their formal similarities and differences. Understanding the related formal concepts is particularly vital in the epoch of Big Data; due to the volume and characteristics of the data, it is no longer feasible to predominantly rely on merely viewing the data when facing a clustering problem. ...
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This book provides the reader with a basic understanding of the formal concepts of the cluster, clustering, partition, cluster analysis etc. The book explains feature-based, graph-based and spectral clustering methods and discusses their formal similarities and differences. Understanding the related formal concepts is particularly vital in the epoch of Big Data; due to the volume and characteristics of the data, it is no longer feasible to predominantly rely on merely viewing the data when facing a clustering problem. Usually clustering involves choosing similar objects and grouping them together. To facilitate the choice of similarity measures for complex and big data, various measures of object similarity, based on quantitative (like numerical measurement results) and qualitative features (like text), as well as combinations of the two, are described, as well as graph-based similarity measures for (hyper) linked objects and measures for multilayered graphs. Numerous variants demonstrating how such similarity measures can be exploited when defining clustering cost functions are also presented. In addition, the book provides an overview of approaches to handling large collections of objects in a reasonable time. In particular, it addresses grid-based methods, sampling methods, parallelization via Map-Reduce, usage of tree-structures, random projections and various heuristic approaches, especially those used for community detection.
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Add this copy of Engineering Materials Technology Structures, Processing to cart. $65.07, good condition, Sold by SurplusTextSeller rated 5.0 out of 5 stars, ships from Columbia, MO, UNITED STATES.
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Good. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Add this copy of Engineering Materials Technology: Structures, to cart. $97.91, good condition, Sold by Book Words rated 5.0 out of 5 stars, ships from Midland Park, NJ, UNITED STATES, published 2004 by Pearson.
Add this copy of Engineering Materials Technology Structures, Processing to cart. $98.48, good condition, Sold by TEXTSHUB rated 5.0 out of 5 stars, ships from Franklin Lakes, NJ, UNITED STATES, published 2004 by Prentice Hall.
Add this copy of Engineering Materials Technology: Structures, to cart. $105.50, new condition, Sold by GridFreed rated 5.0 out of 5 stars, ships from San Diego, CA, UNITED STATES, published 2000 by Pearson College Div.
Add this copy of Engineering Materials Technology Structures, Processing to cart. $129.71, new condition, Sold by GridFreed rated 5.0 out of 5 stars, ships from San Diego, CA, UNITED STATES, published 2004 by Prentice Hall.
Add this copy of Engineering Materials Technology Structures, Processing to cart. $365.19, very good condition, Sold by Book Words rated 5.0 out of 5 stars, ships from Midland Park, NJ, UNITED STATES, published 2004 by Prentice Hall.
Add this copy of Engineering Materials Technology: Structures, to cart. $41.00, good condition, Sold by Sunshine State Books rated 4.0 out of 5 stars, ships from Lithia, FL, UNITED STATES, published 2000 by Pearson College Div.
Add this copy of Engineering Materials Technology: Structures, to cart. $46.95, very good condition, Sold by A2ZBooks rated 4.0 out of 5 stars, ships from Burgin, KY, UNITED STATES, published 1996 by Prentice Hall.
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Very Good Condition. Very light shelf wear. Some minor marking. Binding is very good. Multiple copies available this title. Quantity Available: 2. ISBN: 0133987930. ISBN/EAN: 9780133987935. Pictures of this item not already displayed here available upon request. Inventory No: ABE287939404.
