Description: A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications by Dmitri A. Viattchenin Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description The present book outlines a new approach to possibilistic clustering in which the sought clustering structure of the set of objects is based directly on the formal definition of fuzzy cluster and the possibilistic memberships are determined directly from the values of the pairwise similarity of objects. Publisher Description The present book outlines a new approach to possibilistic clustering in which the sought clustering structure of the set of objects is based directly on the formal definition of fuzzy cluster and the possibilistic memberships are determined directly from the values of the pairwise similarity of objects. The proposed approach can be used for solving different classification problems. Here, some techniques that might be useful at this purpose are outlined, including a methodology for constructing a set of labeled objects for a semi-supervised clustering algorithm, a methodology for reducing analyzed attribute space dimensionality and a methods for asymmetric data processing. Moreover, a technique for constructing a subset of the most appropriate alternatives for a set of weak fuzzy preference relations, which are defined on a universe of alternatives, is described in detail, and a method for rapidly prototyping the Mamdanis fuzzy inference systems is introduced. This book addresses engineers, scientists, professors, students and post-graduate students, who are interested in and work with fuzzy clustering and its applications Details ISBN 3642355358 ISBN-13 9783642355356 Title A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications Author Dmitri A. Viattchenin Format Hardcover Year 2013 Pages 227 Edition 2013th Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:137620990; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 135.68 USD
Location: Fairfield, Ohio
End Time: 2025-01-24T03:02:40.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Refund will be given as: Money Back
ISBN-13: 9783642355356
Book Title: A Heuristic Approach to Possibilistic Clustering: Algorithms and
Number of Pages: Xii, 227 Pages
Publication Name: Heuristic Approach to Possibilistic Clustering : Algorithms and Applications
Language: English
Publisher: Springer Berlin / Heidelberg
Subject: Engineering (General), Intelligence (Ai) & Semantics, Probability & Statistics / Multivariate Analysis, Set Theory, Databases / Data Mining
Item Height: 0.2 in
Publication Year: 2013
Item Weight: 171.2 Oz
Type: Textbook
Item Length: 9.3 in
Author: Dmitri A. Viattchenin
Subject Area: Mathematics, Computers, Technology & Engineering
Item Width: 6.1 in
Series: Studies in Fuzziness and Soft Computing Ser.
Format: Hardcover
