Improvements to Nearest Neighbor Classifier : Pattern Synthesis, Compact Data Representation and other Schemes

Language: English

Published by LAP LAMBERT Academic Publishing, 2011

3845416491 / 9783845416496

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Nearest neighbor classifier (NNC), a non-parametric pattern classification technique is not only simple to use, but often shows good performance. It is used in several domains, like data mining, machine learning, image/video/audio data analysis and retrieval, etc. It has some shortcomings or limitations, like it can be biased due to curse of dimensionality effect, huge computational requirements, etc. With large number of training instances it can achieve a better classification accuracy. But, this can worse the computational burden. The monograph presents a series of techniques whereby number of training instances can be artificially increased and can be stored in compact data representation schemes. This means, training set size can be virtually increased, but computational burden is not. The monograph presents, mainly, pattern synthesis techniques called partition based pattern synthesis and overlap based pattern synthesis, and their respective compact data structures. It is shown, both theoretically and experimentally that the proposed methods are effective. The monograph also presents some other improvements to NNC and presents a constant time NNC also.…

Seller Inventory # 9783845416496

Title
Improvements to Nearest Neighbor Classifier : Pattern Synthesis, Compact Data Representation and other Schemes
Author
Viswanath Pulabaigari
Publisher
LAP LAMBERT Academic Publishing
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3845416491
ISBN 13
9783845416496
Item weight
292 grams
Dimensions
220x150x12 mm

AHA-BUCH GmbH

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