• Mrs. K. MAHALAKSHMI
• RAGAVI .P

In Machine learning algorithm, here we are using proMiSH algorithm to find the Euclidean distance. Grouping the points to find the shortest distance. Machine learning algorithm shows a result by removing unwanted data and shows the best result. Machine learning algorithm much more time and space efficient but returns results whose diameters are within a small approximation ratio of the diameters of the true results. By Group Nearest query, each nearest point matches at least one of the query keywords of the User. Using the dataset, we will be finding out the NEAREST GROUP QUERY it means we are going to fetch the location that the user satisfies all the multiple queries and finds the result by using Euclidean formula.

Euclidean, Machine Learning and Existing Algorithm.

"Enhanced Group Query optimization with Machine Learning Algorithm on spatial data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.220-223, April-2021, Available :http://www.jetir.org/papers/JETIRER06052.pdf

"Enhanced Group Query optimization with Machine Learning Algorithm on 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. pp220-223, April-2021, Available at : http://www.jetir.org/papers/JETIRER06052.pdf