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» Landscape of Clustering Algorithms
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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
16 years 2 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
205
Voted
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
16 years 4 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 5 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
PAMI
2007
202views more  PAMI 2007»
15 years 4 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—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....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
127
Voted
CVPR
2007
IEEE
16 years 6 months ago
Moving Forward in Structure From Motion
It is well-known that forward motion induces a large number of local minima in the instantaneous least-squares reprojection error. This is caused in part by singularities in the e...
Andrea Vedaldi, Gregorio Guidi, Stefano Soatto