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WABI
2005
Springer
179views Bioinformatics» more  WABI 2005»
15 years 11 months ago
Spectral Clustering Gene Ontology Terms to Group Genes by Function
Abstract. With the invention of biotechnological high throughput methods like DNA microarrays, biologists are capable of producing huge amounts of data. During the analysis of such...
Nora Speer, Christian Spieth, Andreas Zell
ASC
2008
15 years 6 months ago
Dynamic data assigning assessment clustering of streaming data
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Olga Georgieva, Frank Klawonn
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
CRV
2006
IEEE
92views Robotics» more  CRV 2006»
16 years 6 days ago
Simple Software for Microarray Image Analysis
A set of microarray images were acquired by a sequence of biological experiments which were scanned via a high resolution scanner. For each spot corresponding to a gene, the ratio...
Chaur-Chin Chen, Cheng-Yan Kao, Chun-Fan Chang, Hs...
ICDAR
2005
IEEE
15 years 11 months ago
A Statistical Learning Approach To Document Image Analysis
In the field of computer analysis of document images, the problems of physical and logical layout analysis have been approached through a variety of heuristic, rule-based, and gr...
Kevin Laven, Scott Leishman, Sam T. Roweis