Implementing imprecision in information systems
Information Sciences: an International Journal - Special issue on expert systems
Machine learning an artificial intelligence approach volume II
Machine learning an artificial intelligence approach volume II
Conceptual clustering and its relation to numerical taxonomy
Artificial intelligence and statistics
Algorithms for clustering data
Algorithms for clustering data
Models of incremental concept formation
Artificial Intelligence
Explanation-based learning: a problem solving perspective
Artificial Intelligence
The formation and use of abstract concepts in design
Concept formation knowledge and experience in unsupervised learning
Building and improving design systems: a machine learning approach
Building and improving design systems: a machine learning approach
Theory refinement combining analytical and empirical methods
Artificial Intelligence
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
A Conceptual Clustering Algorithm for Database Schema Design
IEEE Transactions on Knowledge and Data Engineering
Conceptual Clustering, Categorization, and Polymorphy
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Clustering with Instance-level Constraints
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Iterative optimization and simplification of hierarchical clusterings
Journal of Artificial Intelligence Research
ITERATE: a conceptual clustering algorithm for data mining
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Editorial: Identity fusion in unsupervised environments
Information Fusion
A k-mean clustering algorithm for mixed numeric and categorical data
Data & Knowledge Engineering
Hierarchical clustering of mixed data based on distance hierarchy
Information Sciences: an International Journal
Distance functions for categorical and mixed variables
Pattern Recognition Letters
Classification with Nominal Data Using Intuitionistic Fuzzy Sets
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Collaborative clustering with background knowledge
Data & Knowledge Engineering
Structuring ordered nominal data for event sequence discovery
Proceedings of the international conference on Multimedia
Expert Systems with Applications: An International Journal
Pattern Recognition Letters
A hierarchical Naïve Bayes model for approximate identity matching
Decision Support Systems
Toward multimodal situated analysis
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
A dissimilarity measure for the k-Modes clustering algorithm
Knowledge-Based Systems
Clustering mixed data based on evidence accumulation
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Local linear logistic discriminant analysis with partial least square components
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Determining the number of clusters using information entropy for mixed data
Pattern Recognition
A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data
Knowledge-Based Systems
Algorithm for fuzzy clustering of mixed data with numeric and categorical attributes
ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
An efficient clustering algorithm based on histogram threshold
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Attribute value weighting in k-modes clustering
Expert Systems with Applications: An International Journal
Interactive data-driven discovery of temporal behavior models from events in media streams
Proceedings of the 20th ACM international conference on Multimedia
A data mining approach to knowledge discovery from multidimensional cube structures
Knowledge-Based Systems
Group affinity based social trust model for an intelligent movie recommender system
Multimedia Tools and Applications
New cluster ensemble approach to integrative biological data analysis
International Journal of Data Mining and Bioinformatics
Data guided approach to generate multi-dimensional schema for targeted knowledge discovery
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
| Hi-index | 0.00 |
This paper presents a Similarity-Based Agglomerative Clustering (SBAC) algorithm that works well for data with mixed numeric and nominal features. A similarity measure, proposed by Goodall for biological taxonomy, that gives greater weight to uncommon feature value matches in similarity computations and makes no assumptions of the underlying distributions of the feature values, is adopted to define the similarity measure between pairs of objects. An agglomerative algorithm is employed to construct a dendrogram and a simple distinctness heuristic is used to extract a partition of the data. The performance of SBAC has been studied on real and artificially generated data sets. Results demonstrate the effectiveness of this algorithm in unsupervised discovery tasks. Comparisons with other clustering schemes illustrate the superior performance of this approach.