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» Data Clustering: A Review
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LREC
2008
120views Education» more  LREC 2008»
13 years 9 months ago
Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....
Hiroyuki Shinnou, Minoru Sasaki
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
14 years 4 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
SSPR
1998
Springer
13 years 12 months ago
Distribution Free Decomposition of Multivariate Data
: We present a practical approach to nonparametric cluster analysis of large data sets. The number of clusters and the cluster centres are automatically derived by mode seeking wit...
Dorin Comaniciu, Peter Meer
DASFAA
2008
IEEE
118views Database» more  DASFAA 2008»
14 years 2 months ago
RAIN: Always on Data Warehousing
Abstract. The Redundant Arrays of Inexpensive DWS Nodes (RAIN) technique is a node-level data replication approach that introduces failover capabilities to DWS (Data Warehouse Stri...
Jorge Vieira, Marco Vieira, Marco Costa, Henrique ...
IGARSS
2009
13 years 5 months ago
Reducing the Dimensionality of Hyperspectral Data using Diffusion Maps
We examine the analysis of hyperspectral data produced by the Hyperspectral Core Imager of AngloGold Ashanti. The dimension of the data is reduced using diffusion maps and the dat...
Luis du Plessis, Steven Damelin, Michael Sears