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» A Genetic Algorithm for Clustering on Very Large Data Sets
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IJCAI
1989
13 years 9 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis
BMCBI
2007
106views more  BMCBI 2007»
13 years 8 months ago
Simultaneous identification of long similar substrings in large sets of sequences
Background: Sequence comparison faces new challenges today, with many complete genomes and large libraries of transcripts known. Gene annotation pipelines match these sequences in...
Jürgen Kleffe, Friedrich Möller, Burghar...
APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
13 years 10 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
14 years 5 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
14 years 2 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...