35 search results - page 1 / 7 » ROCK: A Robust Clustering Algorithm for Categorical Attribut... |
ICDE
1999
IEEE
14 years 5 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...
DAWAK
2004
Springer
13 years 9 months ago
2004
Springer
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
IJIT
2004
13 years 5 months ago
2004
We develop a three-step fuzzy logic-based algorithm for clustering categorical attributes, and we apply it to analyze cultural data. In the first step the algorithm employs an entr...
IDA
2009
Springer
13 years 2 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...
CIMCA
2005
IEEE
13 years 10 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...