670 search results - page 25 / 134 » Intractability and clustering with constraints |
148
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ICPR
2008
IEEE
16 years 18 days ago
2008
IEEE
In this work we present a novel method to model instance-level constraints within a clustering algorithm. Thereby, both similarity and dissimilarity constraints can be used coeval...
178
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KDD
2004
ACM
16 years 6 months ago
2004
ACM
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
153
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ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
We derive the clustering problem from first principles showing that the goal of achieving a probabilistic, or ”hard”, multi class clustering result is equivalent to the algeb...
172
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ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
139
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SSPR
2004
Springer
15 years 11 months ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...