328 search results - page 1 / 66 » A Fast Clustering Algorithm to Cluster Very Large Categorica... |
DMKD
1997
ACM
13 years 11 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
DAWAK
2004
Springer
14 years 25 days 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...
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...
PAKDD
2007
ACM
14 years 1 months ago
2007
ACM
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...