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PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Feature Selection for Clustering
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
Manoranjan Dash, Huan Liu
IJIT
2004
13 years 9 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi
ISCAS
2005
IEEE
124views Hardware» more  ISCAS 2005»
14 years 1 months ago
One-pass computation-aware motion estimation with adaptive search strategy
— A computation-aware motion estimation algorithm is proposed in this paper. Its goal is to find the best block matching results in a computation-limited and computation-variant...
Yu-Wen Huang, Chia-Lin Lee, Ching-Yeh Chen, Liang-...
CORR
2010
Springer
131views Education» more  CORR 2010»
13 years 8 months ago
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
Yevgeny Seldin
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
14 years 8 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...