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109
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ESANN
2008
15 years 2 months ago
Parallelizing single patch pass clustering
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
Nikolai Alex, Barbara Hammer
93
Voted
DAC
2005
ACM
16 years 1 months ago
Logic block clustering of large designs for channel-width constrained FPGAs
In this paper we present a system level technique for mapping large, multiple-IP-block designs to channel-width constrained FPGAs. Most FPGA clustering tools [2, 3, 11] aim to red...
Marvin Tom, Guy G. Lemieux
CIKM
2008
Springer
15 years 2 months ago
A language for manipulating clustered web documents results
We propose a novel conception language for exploring the results retrieved by several internet search services (like search engines) that cluster retrieved documents. The goal is ...
Gloria Bordogna, Alessandro Campi, Giuseppe Psaila...
WWW
2004
ACM
16 years 1 months ago
A hierarchical monothetic document clustering algorithm for summarization and browsing search results
Organizing Web search results into a hierarchy of topics and subtopics facilitates browsing the collection and locating results of interest. In this paper, we propose a new hierar...
Krishna Kummamuru, Rohit Lotlikar, Shourya Roy, Ka...
101
Voted
BIBE
2007
IEEE
155views Bioinformatics» more  BIBE 2007»
15 years 7 months ago
Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis
Abstract—In this paper we demonstrate the inherent robustness of minimum distance estimator that makes it a potentially powerful tool for parameter estimation in gene expression ...
Yinyin Yuan, Chang-Tsun Li