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MLDM
2005
Springer
15 years 9 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...
145
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ALMOB
2008
112views more  ALMOB 2008»
15 years 3 months ago
Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps
Background: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput ana...
Peter Meinicke, Thomas Lingner, Alexander Kaever, ...
GIS
2009
ACM
15 years 8 months ago
Conceptualization of place via spatial clustering and co-occurrence analysis
More and more users are contributing and sharing more and more contents on the Web via the use of content hosting sites and social media services. These user–generated contents ...
Dong-Po Deng, Tyng-Ruey Chuang, Rob Lemmens
BMCBI
2010
144views more  BMCBI 2010»
15 years 3 months ago
Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data
Background: The investigation of plant genome structure and evolution requires comprehensive characterization of repetitive sequences that make up the majority of higher plant nuc...
Petr Novák, Pavel Neumann, Jirí Maca...
143
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WWW
2009
ACM
15 years 8 months ago
Extracting data records from the web using tag path clustering
Fully automatic methods that extract lists of objects from the Web have been studied extensively. Record extraction, the first step of this object extraction process, identifies...
Gengxin Miao, Jun'ichi Tatemura, Wang-Pin Hsiung, ...