4084 search results - page 104 / 817 » The Method of Quantum Clustering |
138
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SIGMOD
2000
ACM
15 years 5 months ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
EDM
2010
15 years 3 months ago
2010
While students' skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [...
171
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
In this paper, a novel hierarchical clustering method using link analysis techniques is introduced. The algorithm is formulated as an authority seeking procedure on graphs, which c...
118
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ICCV
2007
IEEE
16 years 3 months ago
2007
IEEE
This paper aims to introduce the robustness against noise into the spectral clustering algorithm. First, we propose a warping model to map the data into a new space on the basis o...
123
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...