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» On detecting space-time clusters
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SIGIR
2006
ACM
14 years 3 months ago
Near-duplicate detection by instance-level constrained clustering
For the task of near-duplicated document detection, both traditional fingerprinting techniques used in database community and bag-of-word comparison approaches used in information...
Hui Yang, James P. Callan
MICCAI
2005
Springer
14 years 10 months ago
Support Vector Clustering for Brain Activation Detection
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann H...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
14 years 7 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
APBC
2004
121views Bioinformatics» more  APBC 2004»
13 years 11 months ago
Using Emerging Pattern Based Projected Clustering and Gene Expression Data for Cancer Detection
Using gene expression data for cancer detection is one of the famous research topics in bioinformatics. Theoretically, gene expression data is capable to detect all types of early...
Larry T. H. Yu, Fu-Lai Chung, Stephen Chi-fai Chan...
BIOINFORMATICS
2000
99views more  BIOINFORMATICS 2000»
13 years 9 months ago
GeneRAGE: a robust algorithm for sequence clustering and domain detection
Motivation: Efficient, accurate and automatic clustering of large protein sequence datasets, such as complete proteomes, into families, according to sequence similarity. Detection...
Anton J. Enright, Christos A. Ouzounis