3 search results - page 1 / 1 » Density-Based Spatial Clustering in the Presence of Obstacle... |
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Voted
PKDD
2004
Springer
15 years 2 months ago
2004
Springer
FLAIRS
2004
14 years 10 months ago
2004
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
JCP
2008
14 years 9 months ago
2008
Finding clusters with widely differing sizes, shapes and densities in presence of noise and outliers is a challenging job. The DBSCAN is a versatile clustering algorithm that can f...