234 search results - page 33 / 47 » Spectral Clustering with Perturbed Data |
NIPS
2008
13 years 9 months ago
2008
By attempting to simultaneously partition both the rows (examples) and columns (features) of a data matrix, Co-clustering algorithms often demonstrate surprisingly impressive perf...
PODS
2005
ACM
14 years 7 months ago
2005
ACM
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
COLT
2006
Springer
13 years 11 months ago
2006
Springer
Stability is a common tool to verify the validity of sample based algorithms. In clustering it is widely used to tune the parameters of the algorithm, such as the number k of clust...
SSPR
2004
Springer
14 years 29 days 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...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...