89 search results - page 1 / 18 » A Fast Algorithm for Finding Correlation Clusters in Noise D... |
PAKDD
2007
ACM
13 years 11 months ago
2007
ACM
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
PAKDD
2010
ACM
13 years 7 months ago
2010
ACM
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
SIGMOD
2004
ACM
14 years 5 months ago
2004
ACM
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
SODA
2010
ACM
14 years 2 months ago
2010
ACM
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...
WAIM
2009
Springer
13 years 11 months ago
2009
Springer
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods combine clustering w...