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» Identifying Clusters from Positive Data
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IADIS
2008
15 years 4 months ago
Design of an Automated System for Clustering Heterogeneous Data
The goal of this work is to study the feasibility of a Heterogeneous Data Classification and Search (HDCS) system and to provide a possible design for its implementing. In order t...
Dorin Carstoiu, Alexandra Cernian, Adriana Olteanu...
PAKDD
1998
ACM
103views Data Mining» more  PAKDD 1998»
15 years 7 months ago
Discovering Case Knowledge Using Data Mining
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...
Sarabjot S. Anand, David W. Patterson, John G. Hug...
BMCBI
2006
119views more  BMCBI 2006»
15 years 3 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
15 years 1 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
DIAGRAMS
2004
Springer
15 years 8 months ago
Geographic Projection of Cluster Composites
A composite cluster map displays a fuzzy categorisation of geographic areas. It combines information from several sources to provide a visualisation of the significance of cluster...
Peter Kleiweg, John Nerbonne, Leonie Bosveld