1775 search results - page 46 / 355 » Learning Spectral Clustering |
WWW
2007
ACM
15 years 10 months ago
2007
ACM
Name ambiguity is a special case of identity uncertainty where one person can be referenced by multiple name variations in different situations or even share the same name with ot...
117
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IGARSS
2009
14 years 7 months ago
2009
We have explored in this paper a framework to test in a quantitative manner the stability of different endmember extraction and spectral unmixing algorithms based on the concept o...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Clustering with constraints is a developing area of machine learning. Various papers have used constraints to enforce particular clusterings, seed clustering algorithms and even l...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
109
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PAMI
2007
14 years 9 months ago
2007
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....