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» Practical Preference Relations for Large Data Sets
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JBI
2007
110views Bioinformatics» more  JBI 2007»
15 years 6 months ago
FreeViz - An intelligent multivariate visualization approach to explorative analysis of biomedical data
Visualization can largely improve biomedical data analysis. It plays a crucial role in explorative data analysis and may support various data mining tasks. The paper presents Free...
Janez Demsar, Gregor Leban, Blaz Zupan
CVPR
2008
IEEE
16 years 8 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
IDEAL
2005
Springer
15 years 11 months ago
Cluster Analysis of High-Dimensional Data: A Case Study
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...
Richard Bean, Geoffrey J. McLachlan
EOR
2006
86views more  EOR 2006»
15 years 6 months ago
Minimum-distance controlled perturbation methods for large-scale tabular data protection
National Statistical Agencies routinely release large amounts of tabular information. Prior to dissemination, tabular data needs to be processed to avoid the disclosure of individ...
Jordi Castro
IVC
2006
120views more  IVC 2006»
15 years 6 months ago
Facial pose from 3D data
The distribution of the apparent 3D shape of human faces across the view-sphere is complex, owing to factors such as variations in identity, facial expression, minor occlusions an...
Ajit Rajwade, Martin D. Levine