32 search results - page 3 / 7 » Hierarchical Density-Based Clustering of Categorical Data an... |
ICDE
1999
IEEE
14 years 7 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
SDM
2007
SIAM
13 years 7 months ago
2007
SIAM
Given a set of objects V with a dissimilarity measure between pairs of objects in V , a PoCluster is a collection of sets P ⊂ powerset(V ) partially ordered by the ⊂ relation ...
CSDA
2007
13 years 6 months ago
2007
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. It i...
BMCBI
2004
13 years 6 months ago
2004
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
KDD
2010
ACM
13 years 4 months ago
2010
ACM
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Todayâ...