Communications of the ACM - Special issue on parallelism
A dynamic cluster maintenance system for information retrieval
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Algorithms for clustering data
Algorithms for clustering data
The formation and use of abstract concepts in design
Concept formation knowledge and experience in unsupervised learning
Knowledge discovery in databases: an overview
AI Magazine
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
CURE: an efficient clustering algorithm for large databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Unsupervised feature selection using a neuro-fuzzy approach
Pattern Recognition Letters
OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
CACTUS—clustering categorical data using summaries
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
An empirical comparison of four initialization methods for the K-Means algorithm
Pattern Recognition Letters
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
Data Mining and Knowledge Discovery
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
Data Mining and Knowledge Discovery
Squeezer: an efficient algorithm for clustering categorical data
Journal of Computer Science and Technology
Unsupervised Learning with Mixed Numeric and Nominal Data
IEEE Transactions on Knowledge and Data Engineering
Improving Performance of Similarity-Based Clustering by Feature Weight Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Experiments with Incremental Concept Formation: UNIMEM
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Refining Initial Points for K-Means Clustering
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Feature Weighting in k-Means Clustering
Machine Learning
ROCK: A Robust Clustering Algorithm for Categorical Attributes
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Cluster center initialization algorithm for K-means clustering
Pattern Recognition Letters
Automated Variable Weighting in k-Means Type Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A feature selection technique for classificatory analysis
Pattern Recognition Letters
Clustering mixed data based on evidence accumulation
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
A fuzzy k-modes algorithm for clustering categorical data
IEEE Transactions on Fuzzy Systems
Determining the best K for clustering transactional datasets: A coverage density-based approach
Data & Knowledge Engineering
An execution time neural-CBR guidance assistant
Neurocomputing
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Semantic Clustering Using Multiple Ontologies
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
Pattern Recognition Letters
Performance prediction methodology based on pattern recognition
Signal Processing
INCONCO: interpretable clustering of numerical and categorical objects
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Isolating top-k dense regions with filtration of sparse background
Pattern Recognition Letters
Customer grouping for better resources allocation using GA based clustering technique
Expert Systems with Applications: An International Journal
Coupled nominal similarity in unsupervised learning
Proceedings of the 20th ACM international conference on Information and knowledge management
A dissimilarity measure for the k-Modes clustering algorithm
Knowledge-Based Systems
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
Integrative parameter-free clustering of data with mixed type attributes
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Adjusting the clustering results referencing an external set
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
An architecture for component-based design of representative-based clustering algorithms
Data & Knowledge Engineering
Dependency clustering across measurement scales
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Simultaneous feature selection and clustering using particle swarm optimization
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Modified particle swarm optimization for pattern clustering
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
A data mining approach to knowledge discovery from multidimensional cube structures
Knowledge-Based Systems
An Empirical Evaluation of Similarity Coefficients for Binary Valued Data
International Journal of Data Warehousing and Mining
CRUDAW: a novel fuzzy technique for clustering records following user defined attribute weights
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Data guided approach to generate multi-dimensional schema for targeted knowledge discovery
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Engineering Applications of Artificial Intelligence
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Use of traditional k-mean type algorithm is limited to numeric data. This paper presents a clustering algorithm based on k-mean paradigm that works well for data with mixed numeric and categorical features. We propose new cost function and distance measure based on co-occurrence of values. The measures also take into account the significance of an attribute towards the clustering process. We present a modified description of cluster center to overcome the numeric data only limitation of k-mean algorithm and provide a better characterization of clusters. The performance of this algorithm has been studied on real world data sets. Comparisons with other clustering algorithms illustrate the effectiveness of this approach.