Conceptual clustering of structured objects: a goal-oriented approach
Artificial Intelligence
A knowledge-based clustering scheme
Pattern Recognition Letters
Algorithms for clustering data
Algorithms for clustering data
Recent trends in hierarchic document clustering: a critical review
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Information retrieval
A comparative study of clustering methods
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An Analysis of Some Graph Theoretical Cluster Techniques
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Information Systems
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Cluster Computing
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On Clustering Validation Techniques
Journal of Intelligent Information Systems
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Adaptive Genetic Algorithm for Clustering
Journal of Heuristics
Conceptual Clustering of Complex Objects: A Generalization Space based Approach
ICCS '95 Proceedings of the Third International Conference on Conceptual Structures: Applications, Implementation and Theory
A Lattice-Based Approach to Hierarchical Clustering
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Spatial Clustering for Data Mining with Genetic Algorithms
Spatial Clustering for Data Mining with Genetic Algorithms
Graph-based hierarchical conceptual clustering
The Journal of Machine Learning Research
A novel genetic algorithm for automatic clustering
Pattern Recognition Letters
Clustering For Data Mining: A Data Recovery Approach (Chapman & Hall/Crc Computer Science)
Clustering For Data Mining: A Data Recovery Approach (Chapman & Hall/Crc Computer Science)
Local Graph Partitioning using PageRank Vectors
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
Dominant Sets and Pairwise Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
IEEE Transactions on Computers
Conceptual Clustering in Knowledge Organization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Likelihood based hierarchical clustering
IEEE Transactions on Signal Processing
Generalized clustering networks and Kohonen's self-organizing scheme
IEEE Transactions on Neural Networks
Combinatorial optimization in system configuration design
Automation and Remote Control
Four-layer framework for combinatorial optimization problems domain
Advances in Engineering Software
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In the paper, new modified agglomerative algorithms for hierarchical clustering are suggested. The clustering process is targeted to generating a cluster hierarchy which can contain the same items in different clusters. The algorithms are based on the following additional operations: (i) building an ordinal item pair proximity ('distance') including the usage of multicriteria approaches; (ii) integration of several item pair at each stage of the algorithms; and (iii) inclusion of the same items into different integrated item pairs/clusters. The suggested modifications above are significant from the viewpoints of practice, e.g., design of systems architecture for engineering and computer systems.