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» A Comparison of Clustering Methods for Word Image Indexing
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ISBI
2004
IEEE
14 years 8 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...
CVPR
2010
IEEE
14 years 3 months ago
An automatic unsupervised classification of MR images in Alzheimer's disease
Image-analysis methods play an important role in helping detect brain changes in and diagnosis of Alzheimer's Disease (AD). In this paper, we propose an automatic unsupervised...
Xiaojing Long
ICDE
2007
IEEE
211views Database» more  ICDE 2007»
14 years 2 months ago
Document Representation and Dimension Reduction for Text Clustering
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
M. Mahdi Shafiei, Singer Wang, Roger Zhang, Evange...
PR
2000
129views more  PR 2000»
13 years 7 months ago
Personal identification based on handwriting
In this paper, a novel algorithm is presented for writer identification from handwritings. Principal Component Analysis is applied to the gray-scale handwriting images to find a s...
H. E. S. Said, T. N. Tan, Keith D. Baker
PR
2007
293views more  PR 2007»
13 years 7 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang