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» Clustering by pattern similarity in large data sets
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RECOMB
2005
Springer
16 years 6 months ago
Improved Pattern-Driven Algorithms for Motif Finding in DNA Sequences
Abstract. In order to guarantee that the optimal motif is found, traditional pattern-driven approaches perform an exhaustive search over all candidate motifs of length l. We develo...
Sing-Hoi Sze, Xiaoyan Zhao
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
15 years 8 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
BIBM
2008
IEEE
101views Bioinformatics» more  BIBM 2008»
16 years 29 days ago
Comparing and Clustering Flow Cytometry Data
Flow cytometry technique produces large, multidimensional datasets of properties of individual cells that are helpful for biomedical science and clinical research. This paper expl...
Lin Liu, Li Xiong, James J. Lu, Kim M. Gernert, Vi...
LISA
2007
15 years 8 months ago
Network Patterns in Cfengine and Scalable Data Aggregation
Network patterns are based on generic algorithms that execute on tree-based overlays. A set of such patterns has been developed at KTH to support distributed monitoring in network...
Mark Burgess, Matthew Disney, Rolf Stadler
JDCTA
2010
152views more  JDCTA 2010»
15 years 1 months ago
Spatial Clustering Algorithm Based on Hierarchical-Partition Tree
In spatial clustering, the scale of spatial data is usually very large. Spatial clustering algorithms need high performance, good scalability, and are able to deal with noise and ...
Zhongzhi Li, Xuegang Wang