190 search results - page 5 / 38 » Evaluating Clustering Algorithms: Cluster Quality and Featur... |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
The visual appearance of an image is closely associated with its low-level features. Identifying the set of features that best characterizes the image is useful for tasks such as ...
IRAL
2003
ACM
14 years 22 days ago
2003
ACM
1 Document clustering is an aggregation of related documents to a cluster based on the similarity evaluation task between documents and the representatives of clusters. Terms and t...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
SIGGRAPH
1995
ACM
13 years 11 months ago
1995
ACM
In this paper we introduce a new approach to controlling error in hierarchical clustering algorithms for radiosity. The new method ensures that just enough work is done to meet th...
BMCBI
2004
13 years 7 months ago
2004
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...