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» Dimensionality Reduction of Clustered Data Sets
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ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
14 years 1 months ago
Clustering Item Data Sets with Association-Taxonomy Similarity
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
CIKM
2009
Springer
14 years 3 months ago
Completing wikipedia's hyperlink structure through dimensionality reduction
Wikipedia is the largest monolithic repository of human knowledge. In addition to its sheer size, it represents a new encyclopedic paradigm by interconnecting articles through hyp...
Robert West, Doina Precup, Joelle Pineau
CSB
2003
IEEE
150views Bioinformatics» more  CSB 2003»
14 years 1 months ago
Algorithms for Bounded-Error Correlation of High Dimensional Data in Microarray Experiments
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
DMIN
2006
115views Data Mining» more  DMIN 2006»
13 years 10 months ago
Privacy Preserving in Clustering using Fuzzy Sets
Data mining techniques, in spite of their benefit in a wide range of applications have also raised threat to privacy and data security. This paper addresses the problem of preservi...
S. Srinivasa Rao 0002, K. V. S. V. N. Raju, P. Kus...
ENGL
2007
101views more  ENGL 2007»
13 years 8 months ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan