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Feature Selection Based on Multiviewpoint And Link Similarity Measure: Document Clustering - Softcover
Synopsis
To explore and utilize huge amount of text documents is a major question in the area of information retrieval and text mining. All the methods aiming to find groups of entities utilizes similarity or dissimilarity measure. It is necessary to analyse how similarity measure behave on text documents before developing or modifying a good similarity measure for document clustering to understand the effectiveness of the technique. A similarity function embedded in a criterion function is to a large extent is responsible to analyze the intrinsic structure of the data. If appropriate similarity measures are used with specific clustering technique the efficiency and accuracy of the information discovery task can be enhanced. Use of appropriate measures not only improves the provenance and credit-ability of the retrieved information but also helps to overcome the time and cost complexity of the process. This book focuses on identifying the various similarity measure for Clustering. An imperative method for measuring similarity between text documents is illustrated to cluster the documents using hierarchical clustering and feature selection method using Matlab.
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Feature Selection Based on Multiviewpoint And Link Similarity Measure
Published by
LAP LAMBERT Academic Publishing Jan 2022, 2022
ISBN 10: 6204740520
ISBN 13: 9786204740522
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -To explore and utilize huge amount of text documents is a major question in the area of information retrieval and text mining. All the methods aiming to find groups of entities utilizes similarity or dissimilarity measure. It is necessary to analyse how similarity measure behave on text documents before developing or modifying a good similarity measure for document clustering to understand the effectiveness of the technique. A similarity function embedded in a criterion function is to a large extent is responsible to analyze the intrinsic structure of the data. If appropriate similarity measures are used with specific clustering technique the efficiency and accuracy of the information discovery task can be enhanced. Use of appropriate measures not only improves the provenance and credit-ability of the retrieved information but also helps to overcome the time and cost complexity of the process. This book focuses on identifying the various similarity measure for Clustering. An imperative method for measuring similarity between text documents is illustrated to cluster the documents using hierarchical clustering and feature selection method using Matlab. 60 pp. Englisch. Seller Inventory # 9786204740522
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Feature Selection Based on Multiviewpoint And Link Similarity Measure
Published by
LAP Lambert Academic Publishing, 2022
ISBN 10: 6204740520
ISBN 13: 9786204740522
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Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. To explore and utilize huge amount of text documents is a major question in the area of information retrieval and text mining. All the methods aiming to find groups of entities utilizes similarity or dissimilarity measure. It is necessary to analyse how sim. Seller Inventory # 566627132
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Feature Selection Based on Multiviewpoint And Link Similarity Measure : Document Clustering
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204740520
ISBN 13: 9786204740522
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - To explore and utilize huge amount of text documents is a major question in the area of information retrieval and text mining. All the methods aiming to find groups of entities utilizes similarity or dissimilarity measure. It is necessary to analyse how similarity measure behave on text documents before developing or modifying a good similarity measure for document clustering to understand the effectiveness of the technique. A similarity function embedded in a criterion function is to a large extent is responsible to analyze the intrinsic structure of the data. If appropriate similarity measures are used with specific clustering technique the efficiency and accuracy of the information discovery task can be enhanced. Use of appropriate measures not only improves the provenance and credit-ability of the retrieved information but also helps to overcome the time and cost complexity of the process. This book focuses on identifying the various similarity measure for Clustering. An imperative method for measuring similarity between text documents is illustrated to cluster the documents using hierarchical clustering and feature selection method using Matlab. Seller Inventory # 9786204740522
Seller Image
Feature Selection Based on Multiviewpoint And Link Similarity Measure
Published by
LAP LAMBERT Academic Publishing Jan 2022, 2022
ISBN 10: 6204740520
ISBN 13: 9786204740522
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -To explore and utilize huge amount of text documents is a major question in the area of information retrieval and text mining. All the methods aiming to find groups of entities utilizes similarity or dissimilarity measure. It is necessary to analyse how similarity measure behave on text documents before developing or modifying a good similarity measure for document clustering to understand the effectiveness of the technique. A similarity function embedded in a criterion function is to a large extent is responsible to analyze the intrinsic structure of the data. If appropriate similarity measures are used with specific clustering technique the efficiency and accuracy of the information discovery task can be enhanced. Use of appropriate measures not only improves the provenance and credit-ability of the retrieved information but also helps to overcome the time and cost complexity of the process. This book focuses on identifying the various similarity measure for Clustering. An imperative method for measuring similarity between text documents is illustrated to cluster the documents using hierarchical clustering and feature selection method using Matlab.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. Seller Inventory # 9786204740522
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Feature Selection Based on Multiviewpoint And Link Similarity Measure | Document Clustering
Published by
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6204740520
ISBN 13: 9786204740522
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Feature Selection Based on Multiviewpoint And Link Similarity Measure | Document Clustering | Neelam Singh | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204740522 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 121285372