50 search results - page 3 / 10 » CLOPE: a fast and effective clustering algorithm for transac... |
ESANN
2006
13 years 6 months ago
2006
The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
SIGMOD
2004
ACM
14 years 5 months ago
2004
ACM
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
ICDM
2006
IEEE
2006
IEEE
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
13 years 11 months ago
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...