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» From Comparing Clusterings to Combining Clusterings
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EUROPAR
2007
Springer
14 years 27 days ago
Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers
To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections. These networks can be described as graphs o...
Hans E. Plesser, Jochen M. Eppler, Abigail Morriso...
FSKD
2007
Springer
158views Fuzzy Logic» more  FSKD 2007»
14 years 3 months ago
LET: Towards More Precise Clustering of Search Results
Web users are always distracted by a large number of results returned from search engines. Clustering can efficiently facilitate users’ browsing pages of certain topic. However...
Yi Zhang, Lidong Bing, Yexin Wang, Yan Zhang
BMCBI
2006
161views more  BMCBI 2006»
13 years 9 months ago
Comparative genomics in cyprinids: common carp ESTs help the annotation of the zebrafish genome
Background: Automatic annotation of sequenced eukaryotic genomes integrates a combination of methodologies such as ab-initio methods and alignment of homologous genes and/or prote...
Alan Christoffels, Richard Bartfai, Hamsa Srinivas...
SNPD
2010
13 years 10 months ago
Explaining Classification by Finding Response-Related Subgroups in Data
Abstract--A method for explaining results of a regressionbased classifier is proposed. The data is clustered using a metric extracted from the classifier. This way, clusters found ...
Elina Parviainen, Aki Vehtari
CIKM
2006
Springer
13 years 11 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu