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» Accuracy Estimation With Clustered Dataset
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CBMS
2004
IEEE
15 years 3 months ago
Ensemble Clustering in Medical Diagnostics
Ensemble techniques have been successfully applied in the context of supervised learning to increase the accuracy and stability of classification. Recently, analogous techniques fo...
Derek Greene, Alexey Tsymbal, Nadia Bolshakova, Pa...
ICC
2007
IEEE
121views Communications» more  ICC 2007»
15 years 6 months ago
Cooperative Vehicle Position Estimation
Abstract— We present a novel cooperative vehicle position estimation algorithm, which can achieve higher levels of accuracy and reliability than existing GPS based positioning so...
Ryan Parker, Shahrokh Valaee
ESWA
2007
127views more  ESWA 2007»
14 years 11 months ago
Clustering support vector machines for protein local structure prediction
Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....
BMCBI
2008
104views more  BMCBI 2008»
14 years 12 months ago
Missing value imputation improves clustering and interpretation of gene expression microarray data
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
Johannes Tuikkala, Laura Elo, Olli Nevalainen, Ter...
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 5 days ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle