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» Comparisons Between Data Clustering Algorithms
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PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
13 years 11 months ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...
CGF
1999
79views more  CGF 1999»
13 years 7 months ago
A Practical Analysis of Clustering Strategies for Hierarchical Radiosity
The calculation of radiant energy balance in complex scenes has been made possible by hierarchical radiosity methods based on clustering mechanisms. Although clustering offers an ...
Jean-Marc Hasenfratz, Cyrille Damez, Franço...
BMCBI
2010
108views more  BMCBI 2010»
13 years 7 months ago
Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of h
Background: A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For t...
Birte Hellwig, Jan G. Hengstler, Marcus Schmidt, M...
SDMW
2004
Springer
14 years 1 months ago
Achieving Privacy Preservation when Sharing Data for Clustering
Abstract. In this paper, we address the problem of protecting the underlying attribute values when sharing data for clustering. The challenge is how to meet privacy requirements an...
Stanley R. M. Oliveira, Osmar R. Zaïane
ICDM
2007
IEEE
176views Data Mining» more  ICDM 2007»
13 years 11 months ago
A Compact Representation of Spatio-Temporal Data
As technology advances we encounter more available data on moving objects, which can be mined to our benefit. In order to efficiently mine this large amount of data we propose an ...
Sigal Elnekave, Mark Last, Oded Maimon