8776 search results - page 14 / 1756 » Robust Data Clustering |
ICARCV
2002
IEEE
14 years 1 months ago
2002
IEEE
Although the least median of squares (LMedS) method and the least trimmed squares (LTS) method are said to have a high breakdown point (50%), they can break down at unexpectedly l...
CIDM
2009
IEEE
14 years 3 months ago
2009
IEEE
– Clustering is an important task in spatial data mining and spatial analysis. We propose a clustering algorithm P-DBSCAN to cluster polygons in space. PDBSCAN is based on the we...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
VISAPP
2008
13 years 10 months ago
2008
Abstract. This article describes an algorithm for pose or motion estimation based on clustering of parameters in the six-dimensional pose space. The parameter samples are computed ...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual da...