146 search results - page 6 / 30 » A Distribution-Based Clustering Algorithm for Mining in Larg... |
KDD
2004
ACM
14 years 7 months ago
2004
ACM
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
DPD
2002
13 years 7 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
KDD
1997
ACM
13 years 11 months ago
1997
ACM
1 Several clustering algorithms have been proposed for class identification in spatial databases such as earth observation databases. The effectivity of the well-known algorithms ...
ADC
2006
Springer
14 years 1 months ago
2006
Springer
In this paper we discuss eNERF, an extended version of non-Euclidean relational fuzzy c-means (NERFCM) for approximate clustering in very large (unloadable) relational data. The e...
KAIS
2006
13 years 7 months ago
2006
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...