Results 241 to 250 of about 617,742 (295)

Clustering in Dynamic Spatial Databases

Journal of Intelligent Information Systems, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, J., Hsu, W., Lee, M.L.
openaire   +2 more sources

Spatial Cluster Modelling

2002
SPATIAL CLUSTER MODELLING: AN OVERVIEW Introduction Historical Development Notation and Model Development I. POINT PROCESS CLUSTER MODELLING SIGNIFICANCE IN SCALE-SPACE FOR CLUSTERING Introduction Overview New Method Future Directions STATISTICAL INFERENCE FOR COX PROCESSES Introduction Poisson Processes Cox Processes Summary Statistics Parametric ...
openaire   +2 more sources

Spatially significant cluster detection

Spatial Statistics, 2014
Abstract Cluster discovery techniques are a fundamental group of exploratory methods designed to identify areas exhibiting elevated levels of disease, risk, danger, etc. Given the intent of cluster detection, spatial structure plays an important role and must be taken into account appropriately if meaningful clusters are to be found.
Alan T. Murray, Tony H. Grubesic, Ran Wei   +2 more
openaire   +1 more source

Spatial clustering in childhood leukemia

Journal of Chronic Diseases, 1980
Abstract Cases of childhood leukemia occur extraordinarily near one another in space, but they do not occur near one another in time. This suggests that if the disease is infectious it does not spread as a function of the geographic proximity of cases.
openaire   +2 more sources

Genetic-based spatial clustering

Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063), 2002
We propose a genetic-level clustering methodology able to cluster objects represented by R/sup p/ spaces. The unsupervised cluster algorithm is based on a fuzzy clustering c-means method that searches the best fuzzy partition of the universe assuming that the evaluation of each object respect to some features is unknown, but knowing that it belongs to ...
A. di Nola, V. Loia, A. Staiano
openaire   +1 more source

Gravity based spatial clustering

Proceedings of the 10th ACM international symposium on Advances in geographic information systems, 2002
In this paper we examine recent work in the area of spatial clustering with obstacles [14, 13] and present a discussion of several identified drawbacks. We propose an algorithm, called GRAVIclust, which addresses the identified problems. The algorithm uses a heuristic to pick the initial cluster centres and utilises centre of cluster gravity ...
M. Indulska, M. E. Orlowska
openaire   +1 more source

Clustering Spatially Correlated Functional Data

2011
In this paper we discuss and compare two clustering strategies: a hierarchical clustering and a dynamic clustering method for spatially correlated functional data. Both the approaches aim to obtain clusters which are internally homogeneous in terms of their spatial correlation structure. With this scope they incorporate the spatial information into the
ROMANO, Elvira, MATEU J, GIRALDO R.
openaire   +2 more sources

Statistical spatial clustering using spatial data mining

IET Conference on Wireless, Mobile and Multimedia Networks, 2008
As we are moving along with emerging technologies the storage of data will no longer be in our conventional single dimensional raw data. The relational data can be further identified with spatial and non-spatial relationship. This is to examine whether clustering approach has any role to play in spatial data mining.
S. Thirumurugan, L. Suresh
openaire   +1 more source

Spatial Cluster Detection in Spatial Flow Data

Geographical Analysis, 2016
As a typical form of geographical phenomena, spatial flow events have been widely studied in contexts like migration, daily commuting, and information exchange through telecommunication. Studying the spatial pattern of flow data serves to reveal essential information about the underlying process generating the phenomena.
Tao, Ran, Thill, Jean-Claude
openaire   +2 more sources