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KDD
2002
ACM
14 years 5 months ago
2002
ACM
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
KDD
2000
ACM
13 years 9 months ago
2000
ACM
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
PAKDD
2007
ACM
13 years 11 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...
CIKM
2000
Springer
13 years 10 months ago
2000
Springer
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
DMKD
1997
ACM
13 years 9 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...