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BMCBI
2008
122views more  BMCBI 2008»
14 years 10 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
ICASSP
2011
IEEE
14 years 1 months ago
Noise power gain as a measure of errors in discrete-time transversal estimators
The noise power gain (NPG) is addressed and the error bound (EB) is specified via NPG for a general p-shift linear timevariant finite impulse response (FIR) transversal estimato...
Yuriy S. Shmaliy, Oscar Gerardo Ibarra-Manzano
ICML
2003
IEEE
15 years 3 months ago
An Evaluation on Feature Selection for Text Clustering
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
Tao Liu, Shengping Liu, Zheng Chen, Wei-Ying Ma
INFOCOM
2002
IEEE
15 years 2 months ago
On Distinguishing between Internet Power Law Topology Generators
— Recent work has shown that the node degree in the WWW induced graph and the AS-level Internet topology exhibit power laws. Since then several algorithms have been proposed to g...
Tian Bu, Donald F. Towsley
FSTTCS
2009
Springer
15 years 2 months ago
Bounded Size Graph Clustering with Applications to Stream Processing
We introduce a graph clustering problem motivated by a stream processing application. Input to our problem is an undirected graph with vertex and edge weights. A cluster is a subse...
Rohit Khandekar, Kirsten Hildrum, Sujay Parekh, De...