Proceedings of the 2004 ACM symposium on Applied computing
Linearized cluster assignment via spectral ordering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Hierarchical clustering of large volumetric datasets
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Web Document Clustering by Using Automatic Keyphrase Extraction
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
An Analysis of Research Themes in the CBR Conference Literature
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Applying artificial immune system and ant algorithm in air-conditioner market segmentation
Expert Systems with Applications: An International Journal
Self-similarity Clustering Event Detection Based on Triggers Guidance
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
An agglomerative segmentation framework for non-convex regions within uterine cervix images
Image and Vision Computing
Clustering using difference criterion of distortion ratios
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Example-based image color and tone style enhancement
ACM SIGGRAPH 2011 papers
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Proceedings of the 3rd international workshop on Search and mining user-generated contents
Automatic band selection in multispectral images using mutual information-based clustering
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
DHCC: Divisive hierarchical clustering of categorical data
Data Mining and Knowledge Discovery
Fast rank-2 nonnegative matrix factorization for hierarchical document clustering
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Control-flow integrity principles, implementations, and applications
ACM Transactions on Information and System Security (TISSEC)
Music Recommendation Based on Multidimensional Description and Similarity Measures
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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Hierarchical clustering constructs a hierarchy of clusterseither repeatedly mer in two smaller clusters into alarger one or splittin a larger cluster into smaller ones. The crucial step is how to best select the next cluster(s)to split or merge. Here we provide a comprehensiveanalysis of selection methods and propose several newmethods. We perform extensive clustering experimentsto test 8 selection methods, and ?nd that the averagesimilarity is the best method in divisive clustering andMinMax linkage is the best in agglomerativeCluster balance is a key factor to achieve goodperformance. We also introduce the concept of objective function saturation and clustering target distanceto effectively assess the quality of clustering.