152 search results - page 10 / 31 » Finding Consistent Clusters in Data Partitions |
107
Voted
CLASSIFICATION
2010
14 years 9 months ago
2010
: The issue of determining "the right number of clusters" in K-Means has attracted considerable interest, especially in the recent years. Cluster intermix appears to be a...
102
Voted
PAMI
2006
14 years 11 months ago
2006
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
KDD
2007
ACM
16 years 2 days ago
2007
ACM
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
135
Voted
ICAI
2004
15 years 1 months ago
2004
This paper centers on the discussion of k-medoid-style clustering algorithms for supervised summary generation. This task requires clustering techniques that identify class-unifor...
SODA
2010
ACM
15 years 9 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...