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PAKDD
2010
ACM
158views Data Mining» more  PAKDD 2010»
15 years 11 months ago
Integrative Parameter-Free Clustering of Data with Mixed Type Attributes
Abstract. Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with ...
Christian Böhm, Sebastian Goebl, Annahita Osw...
NIPS
2008
15 years 8 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
CLUSTER
2006
IEEE
16 years 22 days ago
An Iteration Aware Multidimensional Data Distribution Prototype for Computing Clusters
Disk and network latency must be taken into account when applying parallel computing to large multidimensional datasets because they can hinder performance by reducing the rate at...
Baoqiang Yan, Philip J. Rhodes
DILS
2004
Springer
16 years 1 days ago
Heterogeneous Data Integration with the Consensus Clustering Formalism
Meaningfully integrating massive multi-experimental genomic data sets is becoming critical for the understanding of gene function. We have recently proposed methodologies for integ...
Vladimir Filkov, Steven Skiena
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
16 years 7 months ago
Clustering pair-wise dissimilarity data into partially ordered sets
Ontologies represent data relationships as hierarchies of possibly overlapping classes. Ontologies are closely related to clustering hierarchies, and in this article we explore th...
Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...