42 search results - page 4 / 9 » A Robust Fuzzy Local Information C-Means Clustering Algorith... |
ACIVS
2008
Springer
15 years 4 months ago
2008
Springer
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
FGR
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
99
Voted
ICPR
2008
IEEE
15 years 11 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...
BMCBI
2006
14 years 9 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
90
Voted
TIP
2010
14 years 4 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...