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» On Feature Selection through Clustering
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SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
14 years 5 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar
EMNLP
2011
12 years 7 months ago
Generating Aspect-oriented Multi-Document Summarization with Event-aspect model
In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sen...
Peng Li, Yinglin Wang, Wei Gao, Jing Jiang
ESANN
2007
13 years 9 months ago
Agglomerative Independent Variable Group Analysis
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
Antti Honkela, Jeremias Seppä, Esa Alhoniemi
GRAPHITE
2004
ACM
14 years 1 months ago
Understanding next-generation VR: classifying commodity clusters for immersive virtual reality
Commodity clusters offer the ability to deliver higher performance computer graphics at lower prices than traditional graphics supercomputers. Immersive virtual reality systems de...
Alexander Streit, Ruth Christie, Andy Boud
BMCBI
2007
143views more  BMCBI 2007»
13 years 8 months ago
Gene selection for classification of microarray data based on the Bayes error
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Ji-Gang Zhang, Hong-Wen Deng