661 search results - page 6 / 133 » Generalized clustering, supervised learning, and data assign... |
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
IJSI
2008
13 years 7 months ago
2008
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
ICAI
2004
13 years 8 months ago
2004
This paper centers on the discussion of k-medoid-style clustering algorithms for supervised summary generation. This task requires clustering techniques that identify class-unifor...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
SDM
2004
SIAM
13 years 8 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...