Hybridization of Genetic Algorithm and K Nearest Neighbor Classifier : Using Information Based Distance Metric

Language: English

Published by LAP LAMBERT Academic Publishing, 2015

365979029X / 9783659790294

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nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning is the study of algorithms that automatically improve their performance with experience. That can provide significant competitive advantages to many organizations by exploiting the potential of large data volume. Intelligently analyzed data is a valuable resource. At the heart of performance is classification accuracy in this specified task. Mostly a crucial problem in machine learning is identifying a representative set of features from which to construct a classification model for a particular task. The classification of data is based on the set of data feature used. The feature selection can provide optimizing performance by using Genetic Algorithm and strongly effect in classification. In making to get improved classification accuracy, author has taken advantage with using hybrid of machine learning methods rather than use of only machine learning approach. Author proposed Information based distance metric to overwhelm one of the weak points of k nearest neighbor classifier. Moreover it provide the comparison of the result of Information based distance metric and Euclidean distance metric on both majority voting and similarity score summing.

Seller Inventory # 9783659790294

Title
Hybridization of Genetic Algorithm and K Nearest Neighbor Classifier : Using Information Based Distance Metric
Author
Sabai Phyu
Publisher
LAP LAMBERT Academic Publishing
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
365979029X
ISBN 13
9783659790294
Item weight
179 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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