192 search results - page 1 / 39 » Sequential Hierarchical Pattern Clustering |
PRIB
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
BMVC
2010
13 years 2 months ago
2010
The Texture Fragmentation and Reconstruction (TFR) algorithm has been recently introduced [9] to address the problem of image segmentation by textural properties, based on a suita...
DOLAP
2006
ACM
13 years 10 months ago
2006
ACM
Mining data warehouses is still an open problem as few approaches really take the specificities of this framework into account (e.g. multidimensionality, hierarchies, historized ...
GIS
2002
ACM
13 years 4 months ago
2002
ACM
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
CIARP
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...