498 search results - page 1 / 100 » DESCRY: A Density Based Clustering Algorithm for Very Large ... |
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
DMKD
1997
ACM
13 years 9 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
AI
2005
Springer
13 years 10 months ago
2005
Springer
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
CAINE
2003
13 years 6 months ago
2003
Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...
ICDM
2002
IEEE
13 years 9 months ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...