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» A monothetic clustering method
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94
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MICCAI
2005
Springer
16 years 1 months ago
MR Diffusion-Based Inference of a Fiber Bundle Model from a Population of Subjects
This paper proposes a method to infer a high level model of the white matter organization from a population of subjects using MR diffusion imaging. This method takes as input for e...
Vincent El Kouby, Yann Cointepas, Cyril Poupon, De...
104
Voted
TSD
2007
Springer
15 years 6 months ago
Inducing Classes of Terms from Text
This paper describes a clustering method for organizing in semantic classes a list of terms. The experiments were made using a POS annotated corpus, the ACL Anthology, which consis...
Pablo Gamallo, Gabriel Pereira Lopes, Alexandre Ag...
91
Voted
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 10 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
83
Voted
ISLPED
2009
ACM
100views Hardware» more  ISLPED 2009»
15 years 7 months ago
Tuning-friendly body bias clustering for compensating random variability in subthreshold circuits
Post-fabrication tuning for mitigating manufacturing variability is receiving a significant attention. To reduce leakage increase involved in performance compensation by body bia...
Koichi Hamamoto, Masanori Hashimoto, Yukio Mitsuya...
ICML
2003
IEEE
15 years 6 months ago
An Evaluation on Feature Selection for Text Clustering
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
Tao Liu, Shengping Liu, Zheng Chen, Wei-Ying Ma