Conceptual clustering of structured objects: a goal-oriented approach
Artificial Intelligence
Algorithms for clustering data
Algorithms for clustering data
Learning Based on Conceptual Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Symbolic clustering using a new dissimilarity measure
Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast ISODATA clustering algorithms
Pattern Recognition
Machine Learning
A Recursive Partitioning Decision Rule for Nonparametric Classification
IEEE Transactions on Computers
Concepts in conceptual clustering
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Approaches to conceptual clustering
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
An iterative initial-points refinement algorithm for categorical data clustering
Pattern Recognition Letters
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
Data Mining and Knowledge Discovery
The new k-windows algorithm for improving the k-means clustering algorithm
Journal of Complexity
LC: A Conceptual Clustering Algorithm
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Clustering Large Categorical Data
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Study of a Mixed Similarity Measure for Classification and Clustering
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Adherence clustering: an efficient method for mining market-basket clusters
Information Systems
Fuzzy c-means clustering methods for symbolic interval data
Pattern Recognition Letters
MMR: An algorithm for clustering categorical data using Rough Set Theory
Data & Knowledge Engineering
A clustering method to identify representative financial ratios
Information Sciences: an International Journal
Constraint-based clustering and its applications in construction management
Expert Systems with Applications: An International Journal
Clustering constrained symbolic data
Pattern Recognition Letters
A spectral-based clustering algorithm for categorical data using data summaries
Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors
Computation of initial modes for K-modes clustering algorithm using evidence accumulation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Adherence clustering: an efficient method for mining market-basket clusters
Information Systems
Unsupervised pattern recognition models for mixed feature-type symbolic data
Pattern Recognition Letters
Dynamic clustering of interval-valued data based on adaptive quadratic distances
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A partitioning method for mixed feature-type symbolic data using a squared Euclidean distance
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Modified fuzzy c-means for ordinal valued attributes with particle swarm for optimization
Fuzzy Sets and Systems
A clustering method based on fuzzy equivalence relation for customer relationship management
Expert Systems with Applications: An International Journal
Interval competitive agglomeration clustering algorithm
Expert Systems with Applications: An International Journal
A clustering system for data sequence partitioning
Expert Systems with Applications: An International Journal
Integrating data mining with KJ method to classify bridge construction defects
Expert Systems with Applications: An International Journal
Conceptual k-means algorithm based on complex features
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Conceptual k-means algorithm with similarity functions
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Generalizing the k-Windows clustering algorithm in metric spaces
Mathematical and Computer Modelling: An International Journal
RGC: A new conceptual clustering algorithm for mixed incomplete data sets
Mathematical and Computer Modelling: An International Journal
LEFT-logical expressions feature transformation: a framework for transformation of symbolic features
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Fuzzy Kohonen clustering networks for interval data
Neurocomputing
New cluster ensemble approach to integrative biological data analysis
International Journal of Data Mining and Bioinformatics
| Hi-index | 0.11 |
Clustering techniques are important for knowledge acquisition. Traditionally, numerical clustering methods have been viewed in opposition to conceptual clustering methods developed in Artificial Intelligence. Numerical techniques emphasize the determination of homogeneous clusters but provide low-level descriptions of clusters. A conceptual approach is more concerned with high-level, i.e., more understandable descriptions of classes. In this paper, we propose a hybrid numericsymbolic method that integrates an extended version of the K-means algorithm for cluster determination and a complementary conceptual characterization algorithm for cluster description.