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» Robust Hierarchical Clustering
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CVPR
2000
IEEE
14 years 2 months ago
Perceptual Grouping and Segmentation by Stochastic Clustering
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
Yoram Gdalyahu, Noam Shental, Daphna Weinshall
APWEB
2006
Springer
14 years 2 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
Ting Wang
BIBE
2007
IEEE
151views Bioinformatics» more  BIBE 2007»
14 years 5 days ago
On the Effectiveness of Constraints Sets in Clustering Genes
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
ICNP
2003
IEEE
14 years 3 months ago
Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks
Abstract—In the paper, we devise and evaluate a fully decentralized, light-weight, dynamic clustering algorithm for target tracking. Instead of assuming the same role for all the...
Wei-Peng Chen, Jennifer C. Hou, Lui Sha
PG
1999
IEEE
14 years 2 months ago
Automatic Creation of Object Hierarchies for Radiosity Clustering
Using object clusters for hierarchical radiosity greatly improves the efficiency and thus usability of radiosity computations. By eliminating the quadratic starting phase very lar...
Gordon Müller, Stephan Schäfer, Dieter W...