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PR
2008
123views more  PR 2008»
13 years 8 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 8 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
NAR
2006
76views more  NAR 2006»
13 years 8 months ago
CorreLogo: an online server for 3D sequence logos of RNA and DNA alignments
We present an online server that generates a 3D representation of properties of user-submitted RNA or DNA alignments. The visualized properties are information of single alignment...
Eckart Bindewald, Thomas D. Schneider, Bruce A. Sh...
BMCBI
2004
181views more  BMCBI 2004»
13 years 7 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
PAKDD
2009
ACM
135views Data Mining» more  PAKDD 2009»
14 years 2 months ago
On Mining Rating Dependencies in Online Collaborative Rating Networks
The trend of social information processing sees e-commerce and social web applications increasingly relying on user-generated content, such as rating, to determine the quality of o...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang