Similarity measures in scientometric research: the Jaccard index versus Salton's cosine formula
Information Processing and Management: an International Journal
Cluster analysis and related issues
Handbook of pattern recognition & computer vision
Probabilistic models in cluster analysis
Computational Statistics & Data Analysis - Special issue on classification
A new cluster validity index for the fuzzy c-mean
Pattern Recognition Letters
Clustering gene expression patterns
RECOMB '99 Proceedings of the third annual international conference on Computational molecular biology
OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
ACM Computing Surveys (CSUR)
Predictive modeling in automotive direct marketing: tools, experiences and open issues
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Outlier detection for high dimensional data
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Co-clustering documents and words using bipartite spectral graph partitioning
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Cluster validity methods: part I
ACM SIGMOD Record
Dealing with the Expert Inconsistency in Probability Elicitation
IEEE Transactions on Knowledge and Data Engineering
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Algorithms for Mining Distance-Based Outliers in Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Cluster validation techniques for genome expression data
Signal Processing - Special issue: Genomic signal processing
Selection of web sites for online advertising using the AHP
Information and Management
Evaluation of decision trees: a multi-criteria approach
Computers and Operations Research
Understanding software project risk: a cluster analysis
Information and Management
Automated Variable Weighting in k-Means Type Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
What do we know about mobile internet adopters? A cluster analysis
Information and Management
Assimilation patterns in the use of electronic procurement innovations: a cluster analysis
Information and Management
A survey of Knowledge Discovery and Data Mining process models
The Knowledge Engineering Review
Semantic-based facial expression recognition using analytical hierarchy process
Expert Systems with Applications: An International Journal
Ranking discovered rules from data mining with multiple criteria by data envelopment analysis
Expert Systems with Applications: An International Journal
Computers and Operations Research
Hierarchical clustering of mixed data based on distance hierarchy
Information Sciences: an International Journal
Weighted order-dependent clustering and visualization of web navigation patterns
Decision Support Systems
A clustering method to identify representative financial ratios
Information Sciences: an International Journal
Clustering algorithm for intuitionistic fuzzy sets
Information Sciences: an International Journal
Clustering high dimensional data: A graph-based relaxed optimization approach
Information Sciences: an International Journal
Visualization of multi-algorithm clustering for better economic decisions - The case of car pricing
Decision Support Systems
Prioritization of association rules in data mining: Multiple criteria decision approach
Expert Systems with Applications: An International Journal
Validation of overlapping clustering: A random clustering perspective
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A clustering algorithm for multiple data streams based on spectral component similarity
Information Sciences: an International Journal
Formal context coverage based on isolated labels: An efficient solution for text feature extraction
Information Sciences: an International Journal
A bio inspired fuzzy k-modes clustring algorithm
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Ranking and selection of unsupervised learning marketing segmentation
Knowledge-Based Systems
Investigating the relationship among self-leadership strategies by association rules mining
International Journal of Business Information Systems
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Clustering is a popular non-directed learning data mining technique for partitioning a dataset into a set of clusters (i.e. a segmentation). Although there are many clustering algorithms, none is superior on all datasets, and so it is never clear which algorithm and which parameter settings are the most appropriate for a given dataset. This suggests that an appropriate approach to clustering should involve the application of multiple clustering algorithms with different parameter settings and a non-taxing approach for comparing the various segmentations that would be generated by these algorithms. In this paper we are concerned with the situation where a domain expert has to evaluate several segmentations in order to determine the most appropriate segmentation (set of clusters) based on his/her specified objective(s). We illustrate how a data mining process model could be applied to address this problem.