1038 search results - page 22 / 208 » A Genetic Algorithm for Clustering on Very Large Data Sets |
SIGMOD
2000
ACM
14 years 29 days ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
ICDE
1999
IEEE
14 years 10 months ago
1999
IEEE
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
NIPS
2004
13 years 10 months ago
2004
Dominant sets are a new graph-theoretic concept that has proven to be relevant in pairwise data clustering problems, such as image segmentation. They generalize the notion of a ma...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
We propose a novel clustering algorithm that is similar in spirit to classification trees. The data is recursively split using a criterion that applies a discrete curve evolution...