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WO2005071603A3 - Clustering method and computer system - Google Patents

Clustering method and computer system

Info

Publication number
WO2005071603A3
WO2005071603A3 PCT/EP2005/000198 EP2005000198W WO2005071603A3 WO 2005071603 A3 WO2005071603 A3 WO 2005071603A3 EP 2005000198 W EP2005000198 W EP 2005000198W WO 2005071603 A3 WO2005071603 A3 WO 2005071603A3
Authority
WO
Grant status
Application
Patent type
Prior art keywords
cluster
method
clustering
data
amount
Prior art date
Application number
PCT/EP2005/000198
Other languages
German (de)
French (fr)
Other versions
WO2005071603A2 (en )
Inventor
Ralf Pakull
Bernd Woost
Original Assignee
Bayer Materialscience Ag
Ralf Pakull
Bernd Woost
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6218Clustering techniques

Abstract

The invention relates to a clustering method which is used to allocate data to a cluster from a predetermined cluster amount. Said method comprises the following steps: Data is allocated to a first cluster of the cluster amount by means of a first clustering method, data is allocated to a second cluster of the cluster amount by means of a second clustering method, and data is allocated to a third cluster of the cluster amount by means of an at least third clustering method and the at least first, second and third cluster is inputted into a voting module in order to determine, in all probability, the most appropriate cluster of the first, second and third cluster.
PCT/EP2005/000198 2004-01-23 2005-01-12 Clustering method and computer system WO2005071603A3 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
DE102004003496.6 2004-01-23
DE102004003496 2004-01-23
DE102004032650.9 2004-07-06
DE200410032650 DE102004032650A1 (en) 2004-01-23 2004-07-06 File assignment method for use with cluster assemblies involves use of a voting module to probabilistically determine the most appropriate of a number of clusters

Publications (2)

Publication Number Publication Date
WO2005071603A2 true WO2005071603A2 (en) 2005-08-04
WO2005071603A3 true true WO2005071603A3 (en) 2006-01-12

Family

ID=34809599

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2005/000198 WO2005071603A3 (en) 2004-01-23 2005-01-12 Clustering method and computer system

Country Status (1)

Country Link
WO (1) WO2005071603A3 (en)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5337371A (en) * 1991-08-09 1994-08-09 Matsushita Electric Industrial Co., Ltd. Pattern classification system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5337371A (en) * 1991-08-09 1994-08-09 Matsushita Electric Industrial Co., Ltd. Pattern classification system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
ISHII M ET AL: "SIMPLIFICATION OF MAJORITY-VOTING CLASSIFIERS USING BINARY DECISIONDIAGRAMS", SYSTEMS & COMPUTERS IN JAPAN, SCRIPTA TECHNICA JOURNALS. NEW YORK, US, vol. 27, no. 7, 15 June 1996 (1996-06-15), pages 25 - 40, XP000596040, ISSN: 0882-1666 *
KITTLER J ET AL: "ON COMBINING CLASSIFIERS", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, IEEE INC. NEW YORK, US, vol. 20, no. 3, March 1998 (1998-03-01), pages 226 - 239, XP000767916, ISSN: 0162-8828 *

Also Published As

Publication number Publication date Type
WO2005071603A2 (en) 2005-08-04 application

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