5733 search results - page 3 / 1147 » Clustering Categorical Data |
CIMCA
2005
IEEE
14 years 1 months ago
2005
IEEE
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
IDA
2009
Springer
13 years 5 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...
ICTAI
2007
IEEE
14 years 2 months ago
2007
IEEE
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
ICDE
1999
IEEE
14 years 9 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...