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» Comparisons Between Data Clustering Algorithms
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ALT
2010
Springer
13 years 10 months ago
Contrast Pattern Mining and Its Application for Building Robust Classifiers
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
Kotagiri Ramamohanarao
PAMI
2007
171views more  PAMI 2007»
13 years 8 months ago
Toward Objective Evaluation of Image Segmentation Algorithms
—Unsupervised image segmentation is an important component in many image understanding algorithms and practical vision systems. However, evaluation of segmentation algorithms thu...
Ranjith Unnikrishnan, Caroline Pantofaru, Martial ...
NIPS
2007
13 years 10 months ago
Cluster Stability for Finite Samples
Over the past few years, the notion of stability in data clustering has received growing attention as a cluster validation criterion in a sample-based framework. However, recent w...
Ohad Shamir, Naftali Tishby
SSPR
2004
Springer
14 years 2 months ago
Clustering with Soft and Group Constraints
Several clustering algorithms equipped with pairwise hard constraints between data points are known to improve the accuracy of clustering solutions. We develop a new clustering alg...
Martin H. C. Law, Alexander P. Topchy, Anil K. Jai...
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 3 months ago
Efficient Clustering for Orders
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
Toshihiro Kamishima, Shotaro Akaho