Sciweavers

1298 search results - page 98 / 260
» Categorizing Vulnerabilities Using Data Clustering Technique...
Sort
View
CVPR
2004
IEEE
16 years 5 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
121
Voted
IJIS
2008
123views more  IJIS 2008»
15 years 3 months ago
Algorithms of nonlinear document clustering based on fuzzy multiset model
Abstract: Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure which expresses the number and the degree of attribution of an ...
Kiyotaka Mizutani, Ryo Inokuchi, Sadaaki Miyamoto
125
Voted
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 3 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
205
Voted
ICML
2004
IEEE
16 years 4 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
103
Voted
JCDL
2005
ACM
90views Education» more  JCDL 2005»
15 years 9 months ago
An initial evaluation of automated organization for digital library browsing
In this article we present an evaluation of text clustering and classification methods for creating digital library browse interfaces, focusing on the particular case of collecti...
Aaron Krowne, Martin Halbert