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BMCBI
2004
158views more  BMCBI 2004»
15 years 4 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
148
Voted
CSDA
2010
119views more  CSDA 2010»
15 years 5 months ago
Fast robust estimation of prediction error based on resampling
Robust estimators of the prediction error of a linear model are proposed. The estimators are based on the resampling techniques cross-validation and bootstrap. The robustness of t...
Jafar A. Khan, Stefan Van Aelst, Ruben H. Zamar
135
Voted
PSIVT
2009
Springer
139views Multimedia» more  PSIVT 2009»
15 years 9 months ago
Recovery Rate of Clustering Algorithms
This article provides a simple and general way for defining the recovery rate of clustering algorithms using a given family of old clusters for evaluating the performance of the a...
Fajie Li, Reinhard Klette
154
Voted
PRL
2006
207views more  PRL 2006»
15 years 5 months ago
On-line trajectory clustering for anomalous events detection
In this paper we propose a trajectory clustering algorithm suited for video surveillance systems. Trajectories are clustered on-line, as the data are collected, and clusters are o...
Claudio Piciarelli, Gian Luca Foresti
172
Voted
BMCBI
2010
214views more  BMCBI 2010»
15 years 5 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper