Group Choice and Extremal Problems in the Analysis of Qualitative Attributes. - Boris G. Mirkin (Optimization Techniques, 1974)

Federations and transitive group choice. - Boris G. Mirkin (Math. Soc. Sci., 1982)

Approximation of Association Data by Structures and Clusters. - Boris G. Mirkin (Quadratic Assignment and Related Problems, 1993)

A Biologically Consistent Model for Comparing Molecular Phylogenies. - Boris G. Mirkin; Ilya B. Muchnik; Temple F. Smith (J. Comput. Biol., 1995)

Comparison of annotating duplication, tree mapping, and copying as methods to compare gene trees with species trees. - Oliver Eulenstein; Boris G. Mirkin; Martin Vingron (Mathematical Hierarchies and Biology, 1996)

Linear embedding of binary hierarchies and its applications. - Boris G. Mirkin (Mathematical Hierarchies and Biology, 1996)

Clustering for contingency tables: boxes and partitions. - Boris G. Mirkin (Stat. Comput., 1996)

Least-Squares Structuring, Clustering and Data Processing Issues. - Boris G. Mirkin (Comput. J., 1998)

Duplication-Based Measures of Difference Between Gene and Species Trees. - Oliver Eulenstein; Boris G. Mirkin; Martin Vingron (J. Comput. Biol., 1998)

Multiple Prototype Model for Fuzzy Clustering. - Susana Nascimento; Boris G. Mirkin; Fernando Moura-Pires (IDA, 1999)

Concept Learning and Feature Selection Based on Square-Error Clustering. - Boris G. Mirkin (Mach. Learn., 1999)

A fuzzy clustering model of data and fuzzy c-means. - Susana Nascimento; Boris G. Mirkin; Fernando Moura-Pires (FUZZ-IEEE, 2000)

A top-down method for building genome classification trees with linear binary hierarchies. - Boris G. Mirkin; Eugene V. Koonin (Bioconsensus, 2001)

Proportional Membership in Fuzzy Clustering as a Model of Ideal Types. - Susana Nascimento; Boris G. Mirkin; Fernando Moura-Pires (EPIA, 2001)

Reinterpreting the Category Utility Function. - Boris G. Mirkin (Mach. Learn., 2001)

Layered clusters of tightness set functions. - Boris G. Mirkin; Ilya B. Muchnik (Appl. Math. Lett., 2002)

Induced layered clusters, hereditary mappings, and convex geometries. - Boris G. Mirkin; Ilya B. Muchnik (Appl. Math. Lett., 2002)

Comments on "Exact output tracking in decentralized adaptive control". - Boris G. Mirkin (IEEE Trans. Autom. Control., 2003)

Modeling proportional membership in fuzzy clustering. - Susana Nascimento; Boris G. Mirkin; Fernando Moura-Pires (IEEE Trans. Fuzzy Syst., 2003)

Clustering for data mining - a data recovery approach. - Boris G. Mirkin (Chapman & Hall, 2005)

A Suffix Tree Approach to Email Filtering - Rajesh Mysore Pampapathi; Boris G. Mirkin; Mark Levene (CoRR, 2005)

Nearest neighbour approach in the least-squares data imputation algorithms. - Ito Wasito; Boris G. Mirkin (Inf. Sci., 2005)

Aggregating Homologous Protein Families in Evolutionary Reconstructions of Herpesviruses. - Boris G. Mirkin; Renata da Silva Camargo; Trevor I. Fenner; George Loizou; Paul Kellam (CIBCB, 2006)

Nearest neighbours in least-squares data imputation algorithms with different missing patterns. - Ito Wasito; Boris G. Mirkin (Comput. Stat. Data Anal., 2006)

A suffix tree approach to anti-spam email filtering. - Rajesh Mysore Pampapathi; Boris G. Mirkin; Mark Levene (Mach. Learn., 2006)

Approximate Clusters and Biclusters (Abstract). - Boris G. Mirkin (CLA, 2007)

Experiments for the Number of Clusters in K-Means. - Mark Ming-Tso Chiang; Boris G. Mirkin (EPIA Workshops, 2007)

Representing a Computer Science Research Organization on the ACM Computing Classification System. - Boris G. Mirkin; Susana Nascimento; Luís Moniz Pereira (ICCS Supplement, 2008)

Algorithms for additive clustering of rectangular data tables. - Dirk Depril; Iven Van Mechelen; Boris G. Mirkin (Comput. Stat. Data Anal., 2008)

A Class of Evolution-Based Kernels for Protein Homology Analysis: A Generalization of the PAM Model. - Valentina Sulimova; Vadim Mottl; Boris G. Mirkin; Ilya B. Muchnik; Casimir A. Kulikowski (ISBRA, 2009)

Special Issue on Profiling Expertise and Behaviour. - Boris G. Mirkin; Mark Levene (Comput. J., 2009)

A Hybrid Cluster-Lift Method for the Analysis of Research Activities. - Boris G. Mirkin; Susana Nascimento; Trevor I. Fenner; Luís Moniz Pereira (HAIS (1), 2010)

Constructing and Mapping Fuzzy Thematic Clusters to Higher Ranks in a Taxonomy. - Boris G. Mirkin; Susana Nascimento; Trevor I. Fenner; Luís Moniz Pereira (KSEM, 2010)

Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads. - Mark Ming-Tso Chiang; Boris G. Mirkin (J. Classif., 2010)

Choosing a discernibility measure for reject-option of individual and multiple classifiers. - Zacharias Voulgaris; Boris G. Mirkin (Int. J. Gen. Syst., 2010)

Building Fuzzy Thematic Clusters and Mapping Them to Higher Ranks in a Taxonomy. - Boris G. Mirkin; Susana Nascimento; Trevor I. Fenner; Luís Moniz Pereira (Int. J. Softw. Informatics, 2010)

Cluster-Lift Method for Mapping Research Activities over a Concept Tree. - Boris G. Mirkin; Susana Nascimento; Luís Moniz Pereira (Advances in Machine Learning II, 2010)

Thematic Fuzzy Clusters with an Additive Spectral Approach. - Susana Nascimento; Rui Felizardo 001; Boris G. Mirkin (EPIA, 2011)

How to Visualize a Crisp or Fuzzy Topic Set over a Taxonomy. - Boris G. Mirkin; Susana Nascimento; Trevor I. Fenner; Rui Felizardo 001 (PReMI, 2011)

Approximate Bicluster and Tricluster Boxes in the Analysis of Binary Data. - Boris G. Mirkin; Andrey V. Kramarenko (RSFDGrC, 2011)

Developing Additive Spectral Approach to Fuzzy Clustering. - Boris G. Mirkin; Susana Nascimento (RSFDGrC, 2011)

Choosing the number of clusters. - Boris G. Mirkin (WIREs Data Mining Knowl. Discov., 2011)

Core Concepts in Data Analysis: Summarization, Correlation and Visualization. - Boris G. Mirkin (Springer, 2011)

Anomalous pattern based clustering of mental tasks with subject independent learning - some preliminary results. - Renato Cordeiro de Amorim; Boris G. Mirkin; John Q. Gan (Artif. Intell. Res., 2012)

Additive spectral method for fuzzy cluster analysis of similarity data including community structure and affinity matrices. - Boris G. Mirkin; Susana Nascimento (Inf. Sci., 2012)

Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering. - Renato Cordeiro de Amorim; Boris G. Mirkin (Pattern Recognit., 2012)

Least Square Consensus Clustering: Criteria, Methods, Experiments. - Boris G. Mirkin; Andrey Shestakov (ECIR, 2013)

MFWK-Means: Minkowski metric Fuzzy Weighted K-Means for high dimensional data clustering. - L. Svetlova; Boris G. Mirkin; Hansheng Lei 001 (IRI, 2013)

A Clustering-Based Approach to Reduce Feature Redundancy. - Renato Cordeiro de Amorim; Boris G. Mirkin (KICSS, 2013)

Individual Approximate Clusters: Methods, Properties, Applications. - Boris G. Mirkin (RSFDGrC, 2013)

Laplacian normalization for deriving thematic fuzzy clusters with an additive spectral approach. - Susana Nascimento; Rui Felizardo 001; Boris G. Mirkin (Expert Syst. J. Knowl. Eng., 2013)

Methods for Interpretation of Data in Medical Informatics. - Boris G. Mirkin (Advances in Intelligent Analysis of Medical Data and Decision Support Systems, 2013)

Conceptual Maps: Construction Over a Text Collection and Analysis. - Egor N. Morenko; Ekaterina Chernyak; Boris G. Mirkin (AIST, 2014)

A Method for Refining a Taxonomy by Using Annotated Suffix Trees and Wikipedia Resources. - Ekaterina Chernyak; Boris G. Mirkin (ITQM, 2014)

A Concept of Multicriteria Stratification: A Definition and Solution. - Mikhail Orlov; Boris G. Mirkin (ITQM, 2014)

Bisecting K-Means and 1D Projection Divisive Clustering: A Unified Framework and Experimental Comparison. - Ekaterina V. Kovaleva; Boris G. Mirkin (J. Classif., 2015)

A seed expanding cluster algorithm for deriving upwelling areas on sea surface temperature images. - Susana Nascimento; Sérgio Casca; Boris G. Mirkin (Comput. Geosci., 2015)

Triadic Formal Concept Analysis and triclustering: searching for optimal patterns. - Dmitry I. Ignatov; Dmitry V. Gnatyshak; Sergei O. Kuznetsov; Boris G. Mirkin (Mach. Learn., 2015)

Book review "Cell formation in industrial engineering: theory, algorithms and experiments" by Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos - Springer, 2013. - Boris G. Mirkin (Optim. Lett., 2015)

A Lattice-based Consensus Clustering Algorithm. - Artem Bocharov; Dmitry Gnatyshak; Dmitry I. Ignatov; Boris G. Mirkin; Andrey Shestakov (CLA, 2016)

Visualization of Dynamic Reference Graphs. - Ivan Rodin; Ekaterina Chernyak; Mikhail Dubov; Boris G. Mirkin (TextGraphs@NAACL-HLT, 2016)

A-Wardpβ: Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation. - Renato Cordeiro de Amorim; Vladimir Makarenkov; Boris G. Mirkin (Inf. Sci., 2016)

Braverman's Spectrum and Matrix Diagonalization Versus iK-Means: A Unified Framework for Clustering. - Boris G. Mirkin (Braverman Readings in Machine Learning, 2017)

Misha Braverman: My Mentor and My Model. - Boris G. Mirkin (Braverman Readings in Machine Learning, 2017)

Ideal type model and an associated method for relational fuzzy clustering. - Susana Nascimento; Boris G. Mirkin (FUZZ-IEEE, 2017)

Supercluster in Statics and Dynamics: An Approximate Structure Imitating a Rough Set. - Ivan Rodin; Boris G. Mirkin (IJCRS (1), 2017)

The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning. - Renato Cordeiro de Amorim; Andrei Shestakov; Boris G. Mirkin; Vladimir Makarenkov (Pattern Recognit., 2017)

Qualitative Judgement of Research Impact: Domain Taxonomy as a Fundamental Framework for Judgement of the Quality of Research. - Fionn Murtagh; Michael Orlov; Boris G. Mirkin (J. Classif., 2018)

Deriving Corporate Social Responsibility Patterns in the MSCI Data. - Zina Taran; Boris G. Mirkin (BIS (1), 2019)

Using Taxonomy Tree to Generalize a Fuzzy Thematic Cluster. - Dmitry Frolov; Susana Nascimento; Trevor I. Fenner; Boris G. Mirkin (FUZZ-IEEE, 2019)

Method for Generalization of Fuzzy Sets. - Dmitry Frolov; Boris G. Mirkin; Susana Nascimento; Trevor I. Fenner (ICAISC (1), 2019)

Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences. - Dmitry Frolov; Susana Nascimento; Trevor I. Fenner; Zina Taran; Boris G. Mirkin (IDEAL (2), 2019)

Ordinal Equivalence Classes for Parallel Coordinates. - Alexey L. Myachin; Boris G. Mirkin (IDEAL (1), 2019)

A Method for Audience Extending in Programmatic Advertising by Using Parsimonious Generalization of User Segments. - Dmitry Frolov; Zina Taran; Boris G. Mirkin (IHIET, 2019)

Globally Optimal Parsimoniously Lifting a Fuzzy Query Set Over a Taxonomy Tree. - Dmitry Frolov; Boris G. Mirkin; Susana Nascimento; Trevor I. Fenner (WCGO, 2019)

Distance and Consensus for Preference Relations Corresponding to Ordered Partitions. - Boris G. Mirkin; Trevor I. Fenner (J. Classif., 2019)

Core Data Analysis: Summarization, Correlation, and Visualization, Second Edition - Boris G. Mirkin (Springer, 2019)

A Data Recovery Method for Community Detection in Feature-Rich Networks. - Soroosh Shalileh; Boris G. Mirkin (ASONAM, 2020)

A Method for Community Detection in Networks with Mixed Scale Features at Its Nodes. - Soroosh Shalileh; Boris G. Mirkin (COMPLEX NETWORKS (1), 2020)

A Hybrid Approach to the Analysis of a Collection of Research Papers. - Boris G. Mirkin; Dmitry Frolov; Alex Vlasov; Susana Nascimento; Trevor I. Fenner (IDEAL (2), 2020)

A One-by-One Method for Community Detection in Attributed Networks. - Soroosh Shalileh; Boris G. Mirkin (IDEAL (2), 2020)

Detection of an Unspecified Number of Communities in Feature-Rich Networks. - Soroosh Shalileh; Boris G. Mirkin (MARAMI, 2020)

A Hybrid Approach to Interpretable Analysis of Research Paper Collections. - Boris G. Mirkin; Dmitry Frolov; Alex Vlasov; Susana Nascimento; Trevor I. Fenner (WIMS, 2020)

Core Clustering as a Tool for Tackling Noise in Cluster Labels. - Renato Cordeiro de Amorim; Vladimir Makarenkov; Boris G. Mirkin (J. Classif., 2020)

Parsimonious generalization of fuzzy thematic sets in taxonomies applied to the analysis of tendencies of research in data science. - Dmitry Frolov; Susana Nascimento; Trevor I. Fenner; Boris G. Mirkin (Inf. Sci., 2020)

Community detection in feature-rich networks to meet K-means. - Soroosh Shalileh; Boris G. Mirkin (ASONAM, 2021)

An Extension of K-Means for Least-Squares Community Detection in Feature-Rich Networks. - Soroosh Shalileh; Boris G. Mirkin (COMPLEX NETWORKS, 2021)

Detecting Communities in Feature-Rich Networks with a K-Means Method. - Soroosh Shalileh; Boris G. Mirkin (IDEAL, 2021)

GOT: Generalization over Taxonomies, a Software Toolkit for Content Analysis with Taxonomies. - Dmitry Frolov; Boris G. Mirkin (WorldCIST (2), 2021)

Summable and nonsummable data-driven models for community detection in feature-rich networks. - Soroosh Shalileh; Boris G. Mirkin (Soc. Netw. Anal. Min., 2021)

Novel Cluster Modeling for the Spatiotemporal Analysis of Coastal Upwelling. - Susana Nascimento; Alexandre Martins; Paulo Relvas; Joaquim Luis; Boris G. Mirkin (EPIA, 2022)

Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion. - Zhirayr Hayrapetyan; Susana Nascimento; Trevor I. Fenner; Dmitry Frolov; Boris G. Mirkin (WorldCIST (2), 2022)

Community Detection in Feature-Rich Networks Using Data Recovery Approach. - Boris G. Mirkin; Soroosh Shalileh (J. Classif., 2022)

Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method. - Soroosh Shalileh; Boris G. Mirkin (Entropy, 2022)

Community Detection in Feature-Rich Networks Using Gradient Descent Approach. - Soroosh Shalileh; Boris G. Mirkin (COMPLEX NETWORKS (2), 2023)

Core-shell clustering approach for detection and analysis of coastal upwelling. - Susana Nascimento; Alexandre Martins; Paulo Relvas; Joaquim Luis; Boris G. Mirkin (Comput. Geosci., 2023)

Piece-wise constant cluster modelling of dynamics of upwelling patterns. - Susana Nascimento; Alexandre Martins; Paulo Relvas; Joaquim Luis; Boris G. Mirkin (Expert Syst. J. Knowl. Eng., 2023)

Inertia-Based Indices to Determine the Number of Clusters in K-Means: An Experimental Evaluation. - Andrei Rykov; Renato Cordeiro de Amorim; Vladimir Makarenkov; Boris G. Mirkin (IEEE Access, 2024)