378 search results - page 4 / 76 » An objective evaluation criterion for clustering |
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...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
CSDA
2006
13 years 7 months ago
2006
Following the work of Hurvich, Shumway, and Tsai (1990), we propose an "improved" variant of the Akaike information criterion, AICi, for state-space model selection. The...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
TIP
2010
13 years 2 months ago
2010
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...