12 search results - page 1 / 3 » Clustering Spatial Data in the Presence of Obstacles |
FLAIRS
2004
13 years 6 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...
PKDD
2004
Springer
13 years 10 months ago
2004
Springer
EDBT
2004
ACM
14 years 4 months ago
2004
ACM
Despite the existence of obstacles in many database applications, traditional spatial query processing utilizes the Euclidean distance metric assuming that points in space are dire...
SIGMOD
2009
ACM
14 years 4 months ago
2009
ACM
In this paper, we study a novel form of continuous nearest neighbor queries in the presence of obstacles, namely continuous obstructed nearest neighbor (CONN) search. It considers...
ACISICIS
2007
IEEE
13 years 11 months ago
2007
IEEE
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...