1971 search results - page 11 / 395 » A clustering method that uses lossy aggregation of data |
FLAIRS
2007
13 years 10 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,...
GIS
2007
ACM
14 years 8 months ago
2007
ACM
This study investigates whether a fuzzy clustering method is of any practical value in delineating urban housing submarkets relative to clustering methods based on classic (or cri...
BMCBI
2004
13 years 7 months ago
2004
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
ISMIS
2009
Springer
14 years 2 months ago
2009
Springer
Many clustering methods are based on flat descriptions, while data regarding real-world domains include heterogeneous objects related to each other in multiple ways. For instance,...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...