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Article:Data Clustering Method for Discovering Clusters in Spatial Cancer Databases
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 10 - Number 6 |
| Year of Publication: 2010 |
| Authors: Ritu Chauhan, Harleen Kaur, M.Afshar Alam |
10.5120/1487-2004
|
Ritu Chauhan, Harleen Kaur, M.Afshar Alam . Article:Data Clustering Method for Discovering Clusters in Spatial Cancer Databases. International Journal of Computer Applications. 10, 6 ( November 2010), 9-14. DOI=10.5120/1487-2004
Abstract
The vast amount of hidden data in huge databases has created tremendous interests in the field of data mining. This paper discusses the data analytical tools and data mining techniques to analyze the medical data as well as spatial data. Spatial data mining includes discovery of interesting and useful patterns from spatial databases by grouping the objects into clusters. This study focuses on discrete and continuous spatial medical databases on which clustering techniques are applied and the efficient clusters were formed. The clusters of arbitrary shapes are formed if the data is continuous in nature. Furthermore, this application investigated data mining techniques such as classical clustering and hierarchical clustering on the spatial data set to generate the efficient clusters. The experimental results showed that there are certain facts that are evolved and can not be superficially retrieved from raw data.
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