23 search results - page 2 / 5 » Indexed-based density biased sampling for clustering applica... |
BMCBI
2010
13 years 7 months ago
2010
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
AUSDM
2006
Springer
13 years 11 months ago
2006
Springer
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
COMPGEOM
2011
ACM
12 years 11 months ago
2011
ACM
We present a clustering scheme that combines a mode-seeking phase with a cluster merging phase in the corresponding density map. While mode detection is done by a standard graph-b...
KDD
2010
ACM
13 years 6 months ago
2010
ACM
Identifying hot spots of moving vehicles in an urban area is essential to many smart city applications. The practical research on hot spots in smart city presents many unique feat...
RSS
2007
13 years 9 months ago
2007
— This paper concerns context and feature-sensitive re-sampling of workspace surfaces represented by 3D point clouds. We interpret a point cloud as the outcome of repetitive and ...