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JIFS
2008
155views more  JIFS 2008»
15 years 6 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
CORR
2010
Springer
158views Education» more  CORR 2010»
15 years 4 months ago
Clustered Hierarchy in Sensor Networks: Performance and Security
Many papers have been proposed in order to increase the wireless sensor networks performance; This kind of network has limited resources, where the energy in each sensor came from...
Mohammed Abuhelaleh, Khaled M. Elleithy, Thabet M....
CIBCB
2009
IEEE
15 years 4 months ago
Shape modeling and clustering of white matter fiber tracts using fourier descriptors
Reliable shape modeling and clustering of white matter fiber tracts is essential for clinical and anatomical studies that use diffusion tensor imaging (DTI) tractography techniques...
Xuwei Liang, Qi Zhuang, Ning Cao, Jun Zhang
AAAI
2011
14 years 6 months ago
Exploiting Phase Transition in Latent Networks for Clustering
In this paper, we model the pair-wise similarities of a set of documents as a weighted network with a single cutoff parameter. Such a network can be thought of an ensemble of unwe...
Vahed Qazvinian, Dragomir R. Radev
DAWAK
2009
Springer
16 years 1 months ago
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Z...