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Maximal Interaction Two-Mode Clustering

Journal of classification, 2017-04, Vol.34 (1), p.49-75

2017

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Editorial for issue 3/2018

Advances in data analysis and classification, 2018-09, Vol.12 (3), p.449-454

2018

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Editorial for issue 2/2018

Advances in data analysis and classification, 2018-06, Vol.12 (2), p.173-177

2018

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Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data

1, 1999

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Two-mode clustering methods: a structured overview

Statistical methods in medical research, 2004-10, Vol.13 (5), p.363-394

2004

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Dynamic clustering for interval data based on L2 distance

Computational statistics, 2006-01, Vol.21 (2), p.231

2006

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Data Science and Classification

1. Aufl., 2006

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Special Issue on ‘Time series clustering’

Advances in data analysis and classification, 2011-12, Vol.5 (4), p.247-249

Bock, Hans-Hermann

2011

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Data Analysis and Information Systems: Statistical and Conceptual Approaches Proceedings of the 19th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Basel, March 8–10, 1995

1996

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Cooperation in Classification and Data Analysis: Proceedings of Two German-Japanese Workshops

1. Aufl., 2009

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Dynamic clustering for interval data based on L 2 distance

Computational statistics, 2006-06, Vol.21 (2), p.231-250

2006

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Advances in Data Science and Classification: Proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98) Universitá "La Sapienza", Rome, 21-24 July, 1998

1, 1998

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Statistical Learning Methods Including Dimensionality Reduction

Computational statistics & data analysis, 2007-09, Vol.52 (1), p.370-373

2007

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Classification, Clustering, and Data Analysis: Recent Advances and Applications

1, 2002

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Advances in Multivariate Data Analysis: Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Palermo, July 5-6 2001

1, 2004

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Convexity-based clustering criteria: theory, algorithms, and applications in statistics

Statistical methods & applications, 2004-02, Vol.12 (3), p.293-317

Bock, Hans-Hermann

2004

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Data Analysis and Information Systems: Statistical and Conceptual Approaches Proceedings of the 19th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Basel, March 8-10, 1995

1, 1996

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Preface of the ADAC editors

Advances in data analysis and classification, 2008-12, Vol.2 (3), p.207-208

2008

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Data Analysis: Scientific Modeling and Practical Application

1, 2000

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Towards an IT Security Protection Profile for Safety-Related Communication in Railway Automation

Computer Safety, Reliability, and Security, p.137-148

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Information Systems and Data Analysis: Prospects Foundations Applications

1, 1994

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Data Science, Classification, and Related Methods: Proceedings of the Fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27-30 1996

1, 1998

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Two-mode clustering methods: astructuredoverview

Statistical methods in medical research, 2004-10, Vol.13 (5), p.363-394

2004

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Clusteranalyse — Überblick und neuere Entwicklungen

Operations-Research-Spektrum, 1980-12, Vol.1 (4), p.211-232

Bock, Hans -Hermann

1980

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6. Symbolic Data Analysis

Journal of the Japanese Society of Computational Statistics, 2003, Vol.15 (2), p.217-229

Bock, Hans-Hermann

2003

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Maximal Interaction Two-Mode Clustering

Editorial for issue 3/2018

Editorial for issue 2/2018

Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data

Two-mode clustering methods: a structured overview

Dynamic clustering for interval data based on L2 distance

Data Science and Classification

Special Issue on ‘Time series clustering’

Data Analysis and Information Systems: Statistical and Conceptual Approaches Proceedings of the 19th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Basel, March 8–10, 1995

Cooperation in Classification and Data Analysis: Proceedings of Two German-Japanese Workshops

Dynamic clustering for interval data based on L 2 distance

Advances in Data Science and Classification: Proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98) Universitá "La Sapienza", Rome, 21-24 July, 1998

Statistical Learning Methods Including Dimensionality Reduction

Classification, Clustering, and Data Analysis: Recent Advances and Applications

Advances in Multivariate Data Analysis: Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Palermo, July 5-6 2001

Convexity-based clustering criteria: theory, algorithms, and applications in statistics

Data Analysis and Information Systems: Statistical and Conceptual Approaches Proceedings of the 19th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Basel, March 8-10, 1995

Preface of the ADAC editors

Data Analysis: Scientific Modeling and Practical Application

Towards an IT Security Protection Profile for Safety-Related Communication in Railway Automation

Information Systems and Data Analysis: Prospects Foundations Applications

Data Science, Classification, and Related Methods: Proceedings of the Fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27-30 1996

Two-mode clustering methods: astructuredoverview

Clusteranalyse — Überblick und neuere Entwicklungen

6. Symbolic Data Analysis

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