Indian Streams Research Journal

Volume : X, Issue : XI, December - 2020

MULTI DIMENSIONAL SPATIAL DATA

Prof. Santosh Kulkarni, None

DOI : 10.9780/22307850, By : Laxmi Book Publication

Abstract :

Spatial data mining is the process of extracting knowledge from large amounts of spatial data. It turns into a profoundly requesting field on the grounds that tremendous measures of spatial information have been gathered in different applications going from geo-spatial information to bio-clinical information.

Keywords :

• Clustering,
• DBSCAN,
• k-means,
• SOM.

Article :

• Download PDF
• View PDF Online
• Full Text HTML

Cite This Article :

References :

1. Ankerst M., Markus M. B., Kriegel H., Sander J(1999), “OPTICS: Ordering Points To Identify the Clustering Structure”, Proc.ACM SIGMOD’99 Int. Conf. On Management of Data, Philadelphia, PA, pp.49-60.
4. Ester M., Kriegel H., Sander J., Xiaowei Xu (1996), “A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise”, KDD’96, Portland, OR, pp.226-231.

Article Post Production

No data exists for the row/column.