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» A clustering method that uses lossy aggregation of data
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SIGIR
2004
ACM
14 years 2 months ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara
ACL
2008
13 years 10 months ago
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
13 years 9 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang
BMCBI
2010
148views more  BMCBI 2010»
13 years 9 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...
CVPR
2010
IEEE
13 years 11 months ago
Co-clustering of Image Segments Using Convex Optimization Applied to EM Neuronal Reconstruction
This paper addresses the problem of jointly clustering two segmentations of closely correlated images. We focus in particular on the application of reconstructing neuronal structu...
Shiv Vitaladevuni, Ronen Basri