56 search results - page 1 / 12 » A robust method for partitioning the values of categorical a... |
FEGC
2004
13 years 6 months ago
2004
MLDM
2005
Springer
13 years 10 months ago
2005
Springer
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
ICDE
1999
IEEE
14 years 6 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...
IDA
2009
Springer
13 years 3 months ago
2009
Springer
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Clustering is an active research topic in data mining and different methods have been proposed in the literature. Most of these methods are based on the use of a distance measure ...