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GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
16 years 1 days ago
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
ICDM
2003
IEEE
130views Data Mining» more  ICDM 2003»
15 years 11 months ago
Information Theoretic Clustering of Sparse Co-Occurrence Data
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
Inderjit S. Dhillon, Yuqiang Guan
EMMCVPR
2003
Springer
15 years 11 months ago
Watershed-Based Unsupervised Clustering
In this paper, a novel general purpose clustering algorithm is presented, based on the watershed algorithm. The proposed approach defines a density function on a suitable lattice,...
Manuele Bicego, Marco Cristani, Andrea Fusiello, V...
ACL
2008
15 years 8 months ago
Classification of Semantic Relationships between Nominals Using Pattern Clusters
There are many possible different semantic relationships between nominals. Classification of such relationships is an important and difficult task (for example, the well known nou...
Dmitry Davidov, Ari Rappoport
DKE
2006
83views more  DKE 2006»
15 years 6 months ago
Bulk insertion for R-trees by seeded clustering
We propose a scalable technique called Seeded Clustering that allows us to maintain R-tree indices by bulk insertion while keeping pace with high data arrival rates. Our approach ...
Taewon Lee, Bongki Moon, Sukho Lee