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ICML
1995
IEEE
16 years 5 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
114
Voted
KDD
2004
ACM
111views Data Mining» more  KDD 2004»
16 years 5 months ago
Rapid detection of significant spatial clusters
Daniel B. Neill, Andrew W. Moore
103
Voted
KDD
2003
ACM
111views Data Mining» more  KDD 2003»
16 years 5 months ago
Translation-invariant mixture models for curve clustering
Darya Chudova, Scott Gaffney, Eric Mjolsness, Padh...
146
Voted
PRIS
2007
15 years 6 months ago
A Novel Distance Measure for Interval Data
Interval data is attracting attention from the data analysis community due to its ability to describe complex concepts. Since clustering is an important data analysis tool, extendi...
Jie Ouyang, Ishwar K. Sethi
CIBB
2008
15 years 7 months ago
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
The assessment of the reliability of clusters discovered in bio-molecular data is a central issue in several bioinformatics problems. Several methods based on the concept of stabil...
Alberto Bertoni, Giorgio Valentini