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Find the user visiting throughout Google Map and cluster based on most frequent visiting region using k means algorithm
Taruna Sehgal,  Er. Yogesh Kumar
In this paper we are finding the correction location of user based on latitude and longitude is big challenge in spatial database. Clustering is an efficient technique to group together data set to obtain accurate maps . We discuss the k-means clustering algorithm in detail with Spatial Data Mining and how this method can be used. To address these challenges, spatial data mining and geographic knowledge discovery has emerged as an active research field, focusing on the development of theory, methodology, and practice for the extraction of useful information and knowledge from massive and complex spatial databases.Results confirm that k-means clustering can be used to obtainmost visited region of user throughout getting the latitude and longitude and search in google map database.
Unique Identification Number - IJEDR1903126Page Number(s) - 729-734Pubished in - Volume 7 | Issue 3 | September 2019DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Taruna Sehgal,  Er. Yogesh Kumar,   "Find the user visiting throughout Google Map and cluster based on most frequent visiting region using k means algorithm"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.729-734, September 2019, Available at :http://www.ijedr.org/papers/IJEDR1903126.pdf