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» A Genetic Algorithm for Clustering on Very Large Data Sets
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PKDD
2007
Springer
109views Data Mining» more  PKDD 2007»
14 years 2 months ago
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
Abstract. When seeking for small clusters it is very intricate to distinguish between incidental agglomeration of noisy points and true local patterns. We present the PAMALOC algor...
Frank Höppner, Mirko Böttcher
WWW
2010
ACM
14 years 19 days ago
Hierarchical cluster visualization in web mapping systems
This paper presents a technique for visualizing large spatial data sets in Web Mapping Systems (WMS). The technique creates a hierarchical clustering tree, which is subsequently u...
Jean-Yves Delort
KDD
2010
ACM
222views Data Mining» more  KDD 2010»
13 years 10 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...
BMCBI
2005
107views more  BMCBI 2005»
13 years 8 months ago
ProbeMaker: an extensible framework for design of sets of oligonucleotide probes
Background: Procedures for genetic analyses based on oligonucleotide probes are powerful tools that can allow highly parallel investigations of genetic material. Such procedures r...
Johan Stenberg, Mats Nilsson, Ulf Landegren
HIS
2003
13 years 10 months ago
On the Performance of Ant-based Clustering
Ant-based clustering and sorting is a nature-inspired heuristic for general clustering tasks. It has been applied variously, from problems arising in commerce, to circuit design, t...
Julia Handl, Joshua D. Knowles, Marco Dorigo