Volume 49, Issue 1

Models for asymmetric proximities

Bertie Zielman

Department of Data Theory, Faculty of Social Sciences, University of Leiden, PO Box 9555, 2300 RB Leiden, The Netherlands

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Willem J. Heiser

Corresponding Author

Department of Data Theory, Faculty of Social Sciences, University of Leiden, PO Box 9555, 2300 RB Leiden, The Netherlands

Department of Data Theory, Faculty of Social Sciences, University of Leiden, PO Box 9555, 2300 RB Leiden, The NetherlandsSearch for more papers by this author
First published: May 1996
Citations: 48

Abstract

All major models for asymmetric proximities are a combination of a symmetric similarity component and an asymmetric dominance component. The differences and similarities between the methods that are discussed in this paper are revealed by applying a certain decomposition to the model parameters, clearly separating the dominance and symmetric similarity component. The notion of skew‐symmetry turns out to be an often seen element in modelling asymmetry, although sometimes in disguise and difficult to recognize. The decomposition shows that there are two classes of models, one that assumes that the asymmetric relationships are transitive, while the other class consists of models that can also represent circular asymmetric relationships.

Number of times cited according to CrossRef: 48

  • On Detection of the Unique Dimensions of Asymmetry in Proximity Data, Advanced Studies in Behaviormetrics and Data Science, 10.1007/978-981-15-2700-5_7, (119-130), (2020).
  • Modeling Asymmetric Exchanges Between Clusters, Advanced Studies in Behaviormetrics and Data Science, 10.1007/978-981-15-2700-5_18, (297-313), (2020).
  • Methods for the analysis of asymmetric pairwise relationships, Advances in Data Analysis and Classification, 10.1007/s11634-017-0307-9, 12, 1, (5-31), (2018).
  • Unfolding Models for Asymmetric Dissimilarity Data With External Information Based on Path Structures, International Journal of Software Innovation, 10.4018/IJSI.2018070104, 6, 3, (53-66), (2018).
  • Multi-Dimensional Scaling of Sparse Block Diagonal Similarity Matrix, Data Science, 10.1007/978-3-319-55723-6_20, (259-272), (2017).
  • undefined, 2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl Conf on Computational Science/Intelligence and Applied Informatics/2nd Intl Conf on Big Data, Cloud Computing, Data Science (ACIT-CSII-BCD), 10.1109/ACIT-CSII-BCD.2017.13, (320-325), (2017).
  • CLUSKEXT: CLUstering model for SKew-symmetric data including EXTernal information, Advances in Data Analysis and Classification, 10.1007/s11634-015-0203-0, 12, 1, (43-64), (2015).
  • Asymmetric $$k$$ k -Means Clustering of the Asymmetric Self-Organizing Map, Neural Processing Letters, 10.1007/s11063-015-9415-8, 43, 1, (231-253), (2015).
  • Biclustering methods for one-mode asymmetric matrices, Behavior Research Methods, 10.3758/s13428-015-0587-y, 48, 2, (487-502), (2015).
  • A Structural Equation Multidimensional Scaling Model for One-Mode Asymmetric Dissimilarity Data, Structural Equation Modeling: A Multidisciplinary Journal, 10.1080/10705511.2014.856696, 21, 1, (54-62), (2014).
  • Data visualization for asymmetric relations, Neurocomputing, 10.1016/j.neucom.2013.07.030, 124, (97-104), (2014).
  • Asymmetric clustering using the alpha–beta divergence, Pattern Recognition, 10.1016/j.patcog.2013.11.019, 47, 5, (2031-2041), (2014).
  • undefined, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 10.1109/FUZZ-IEEE.2013.6622300, (1-6), (2013).
  • Asymmetric Multidimensional Scaling Models for Seriation, Statistical Models for Data Analysis, 10.1007/978-3-319-00032-9_7, (55-62), (2013).
  • undefined, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 10.1109/FUZZ-IEEE.2013.6622343, (1-8), (2013).
  • ASYMMETRIC MULTIDIMENSIONAL SCALING OF BRAND SWITCHING AMONG MARGARINE BRANDS, Behaviormetrika, 10.2333/bhmk.39.111, 39, 1, (111-126), (2012).
  • A BRIEF SURVEY OF ASYMMETRIC MDS AND SOME OPEN PROBLEMS, Behaviormetrika, 10.2333/bhmk.39.127, 39, 1, (127-165), (2012).
  • k-Means Clustering of Asymmetric Data, Hybrid Artificial Intelligent Systems, 10.1007/978-3-642-28942-2_22, (243-254), (2012).
  • An Experimental Study on Asymmetric Self-Organizing Map, Intelligent Data Engineering and Automated Learning - IDEAL 2011, 10.1007/978-3-642-23878-9_6, (42-49), (2011).
  • Directed Binary Hierarchies and Directed Ultrametrics, Journal of Classification, 10.1007/s00357-011-9091-y, 28, 3, (272-296), (2011).
  • Analysis of Guarantor and Warrantee Relationships Among Government Officials in the Eighth Century in the Old Capital of Japan by Using Asymmetric Multidimensional Scaling, Advances in Data Analysis, Data Handling and Business Intelligence, 10.1007/978-3-642-01044-6_56, (605-614), (2010).
  • Models for Asymmetry in Proximity Data, Data Analysis and Classification, 10.1007/978-3-642-03739-9_9, (79-84), (2010).
  • Methods for the Analysis of Skew-Symmetry in Asymmetric Multidimensional Scaling, Classification as a Tool for Research, 10.1007/978-3-642-10745-0_29, (271-278), (2010).
  • Bicriterion seriation methods for skew‐symmetric matrices, British Journal of Mathematical and Statistical Psychology, 10.1348/000711005X63908, 58, 2, (333-343), (2010).
  • Methods for the combination of kernel matrices within a support vector framework, Machine Learning, 10.1007/s10994-009-5135-5, 78, 1-2, (137-174), (2009).
  • A maximum likelihood method for an asymmetric MDS model, Computational Statistics & Data Analysis, 10.1016/j.csda.2008.03.011, 52, 10, (4673-4684), (2008).
  • TREND VECTOR REPRESENTATION OF MULTIPLE TRANSITION MATRICES BY PENALIZED OPTIMAL SCALING, Journal of the Japanese Society of Computational Statistics, 10.5183/jjscs1988.20.19, 20, 1, (19-37), (2007).
  • Multidimensional Scaling of Asymmetric Proximities with a Dominance Point, Advances in Data Analysis, 10.1007/978-3-540-70981-7_35, (307-318), (2007).
  • An alternative efficient representation of demand‐based competitive asymmetry, Strategic Management Journal, 10.1002/smj.601, 28, 7, (755-766), (2007).
  • Incorporating sequential information into traditional classification models by using an element/position-sensitive SAM, Decision Support Systems, 10.1016/j.dss.2005.02.004, 42, 2, (508-526), (2006).
  • Quantifying social asymmetric structures, Behavior Research Methods, 10.3758/BF03192792, 38, 3, (390-399), (2006).
  • Approaches to Asymmetric Multidimensional Scaling with External Information, Data Analysis, Classification and the Forward Search, 10.1007/3-540-35978-8, (69-76), (2006).
  • Clustering, seriation, and subset extraction of confusion data., Psychological Methods, 10.1037/1082-989X.11.3.271, 11, 3, (271-286), (2006).
  • Visualizing asymmetric proximities with SOM and MDS models, Neurocomputing, 10.1016/j.neucom.2004.04.010, 63, (171-192), (2005).
  • Asymmetric Multidimensional Scaling of Relationships Among Managers of a Firm, Data Analysis and Decision Support, 10.1007/3-540-28397-8, (100-107), (2005).
  • Extending the SOM Algorithm to Visualize Word Relationships, Advances in Intelligent Data Analysis VI, 10.1007/11552253_21, (228-238), (2005).
  • Support Vector Machine Classifiers for Asymmetric Proximities, Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003, 10.1007/3-540-44989-2_27, (217-224), (2003).
  • A Distance Representation of the Quasi-Symmetry Model and Related Distance Models, New Developments in Psychometrics, 10.1007/978-4-431-66996-8, (487-494), (2003).
  • Compact integer-programming models for extracting subsets of stimuli from confusion matrices, Psychometrika, 10.1007/BF02294442, 66, 3, (405-419), (2001).
  • undefined, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), 10.1109/IJCNN.2001.938455, (1908-1913), (2001).
  • An interactive multiobjective programming approach to combinatorial data analysis, Psychometrika, 10.1007/BF02295729, 66, 1, (5-24), (2001).
  • Self Organizing Map and Sammon Mapping for Asymmetric Proximities, Artificial Neural Networks — ICANN 2001, 10.1007/3-540-44668-0_60, (429-435), (2001).
  • New models for the analysis of paired comparison data; segmentation of the panel, Food Quality and Preference, 10.1016/S0950-3293(99)00056-7, 11, 1-2, (71-76), (2000).
  • An Asymmetric Cluster Analysis Study of Car Switching Data, Data Analysis, 10.1007/978-3-642-58250-9_41, (495-504), (2000).
  • Methods for Asymmetric Three-way Scaling, Classification and Data Analysis, 10.1007/978-3-642-60126-2_17, (131-138), (1999).
  • Effects of End-Aisle Display and Flier on the Brand-Switching of Instant Coffee, Data Science, Classification, and Related Methods, 10.1007/978-4-431-65950-1_78, (716-727), (1998).
  • Asymmetric multidimensional scaling of two-mode three-way proximities, Journal of Classification, 10.1007/s003579900010, 14, 2, (195-224), (1997).
  • Homogeneity Analysis of Transition Matrices for Spatially Representing a Transition Trend, Behaviormetrika, 10.2333/bhmk.24.159, 24, 2, (159-178), (1997).