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» Testing homogeneity of a large data set by bootstrapping
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GFKL
2007
Springer
123views Data Mining» more  GFKL 2007»
14 years 1 months ago
Projecting Dialect Distances to Geography: Bootstrap Clustering vs. Noisy Clustering
Abstract. Dialectometry produces aggregate distance matrices in which a distance is specified for each pair of sites. By projecting groups obtained by clustering onto geography on...
John Nerbonne, Peter Kleiweg, Wilbert Heeringa, Fr...
IV
2005
IEEE
136views Visualization» more  IV 2005»
14 years 29 days ago
Improved Visual Clustering of Large Multi-dimensional Data Sets
Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improve...
Eduardo Tejada, Rosane Minghim
KDD
2007
ACM
189views Data Mining» more  KDD 2007»
14 years 7 months ago
Corroborate and learn facts from the web
The web contains lots of interesting factual information about entities, such as celebrities, movies or products. This paper describes a robust bootstrapping approach to corrobora...
Shubin Zhao, Jonathan Betz
BMCBI
2005
163views more  BMCBI 2005»
13 years 7 months ago
CoaSim: A flexible environment for simulating genetic data under coalescent models
Background: Coalescent simulations are playing a large role in interpreting large scale intraspecific sequence or polymorphism surveys and for planning and evaluating association ...
Thomas Mailund, Mikkel H. Schierup, Christian N. S...
CAINE
2003
13 years 8 months ago
A Genetic Algorithm for Clustering on Very Large Data Sets
Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...
Jim Gasvoda, Qin Ding