89 search results - page 6 / 18 » Unsupervised Clustering using Multi-Resolution Perceptual Gr... |
FLAIRS
2007
13 years 11 months ago
2007
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
VLSISP
2010
13 years 3 months ago
2010
A common approach to extract phonemes of sign language is to use an unsupervised clustering algorithm to group the sign segments. However, simple clustering algorithms based on dis...
EMNLP
2006
13 years 10 months ago
2006
Word clustering is important for automatic thesaurus construction, text classification, and word sense disambiguation. Recently, several studies have reported using the web as a c...
CIKM
2000
Springer
14 years 28 days 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...
INEX
2005
Springer
14 years 2 months ago
2005
Springer
Self-Organizing Maps capable of encoding structured information will be used for the clustering of XML documents. Documents formatted in XML are appropriately represented as graph ...