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» Evaluation of clustering algorithms for gene expression data
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BPM
2009
Springer
161views Business» more  BPM 2009»
16 years 1 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
ICDAR
2011
IEEE
14 years 6 months ago
Chinese Keyword Spotting Using Knowledge-Based Clustering
—Content-based document image retrieval is a new and promising research area. Without OCR, document indexing directly based on image content is more general and convenient. Howev...
Yong Xia, Kuanquan Wang, Mingwei Li
PR
2006
164views more  PR 2006»
15 years 6 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
KDD
2010
ACM
208views Data Mining» more  KDD 2010»
15 years 4 months ago
Towards mobility-based clustering
Identifying hot spots of moving vehicles in an urban area is essential to many smart city applications. The practical research on hot spots in smart city presents many unique feat...
Siyuan Liu, Yunhuai Liu, Lionel M. Ni, Jianping Fa...
BMCBI
2010
136views more  BMCBI 2010»
15 years 6 months ago
Bias correction and Bayesian analysis of aggregate counts in SAGE libraries
Background: Tag-based techniques, such as SAGE, are commonly used to sample the mRNA pool of an organism's transcriptome. Incomplete digestion during the tag formation proces...
Russell L. Zaretzki, Michael A. Gilchrist, William...