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ISBI
2004
IEEE
14 years 11 months ago
Controling The False Positive Detection Rate In Fuzzy Clustering of fMRI Data
Despite its potential advantages for fMRI analysis, fuzzy C-means (FCM) clustering suffers from limitations such as the need for a priori knowledge of the number of clusters, and ...
Hesamoddin Jahanian, Hamid Soltanian-Zadeh, Gholam...
ESEM
2007
ACM
14 years 19 days ago
An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method
The quality of software measurement data affects the accuracy of project manager’s decision making using estimation or prediction models and the understanding of real project st...
Kyung-A Yoon, Oh-Sung Kwon, Doo-Hwan Bae
MVA
2007
127views Computer Vision» more  MVA 2007»
14 years 8 days ago
Vehicle Orientation Detection Using Vehicle Color and Normalized Cut Clustering
This paper proposes a novel approach for vehicle orientation detection using “vehicle color” and edge information based on clustering framework. To extract the “vehicle colo...
Jui-Chen Wu, Jun-Wei Hsieh, Yung-Sheng Chen, Cheng...
CIKM
2009
Springer
14 years 5 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...
CIKM
2010
Springer
13 years 9 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...