• K. MAHALAKSHMI
• P.S. HAMSHAVARTHINI

The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classification and regression problems. K-nearest neighbors (KNN) algorithm may be a sort of supervised machine learning algorithm which may be used for both classifications also as regression predictive problems. However, it is mainly used for classification predictive problems in many industries. It is widely used for large datasets to achieve the best result. The main objective of KNN algorithm is to classify the dataset and categorize the nearest neighbors. KNN is a classification algorithm which is used in this paper to classify the dataset and cluster the nearest location. Classifying the spatial dataset of Coimbatore using k-nearest neighbors algorithm and cluster the closest common location into a cluster. The clustered result will used to find the Euclidean distance to find the nearest group query.

Algorithm, Classify, Cluster, Location, nearest, group query.

"DATA CLASSIFICATION ON USER LOCATION WITH SPATIAL DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.239-242, April-2021, Available :http://www.jetir.org/papers/JETIRER06056.pdf

"DATA CLASSIFICATION ON USER LOCATION WITH SPATIAL DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp239-242, April-2021, Available at : http://www.jetir.org/papers/JETIRER06056.pdf