To find the best clustering method that can be used in data analysis system recommendation

With the existing data with machine learning, the clustering method that achieves the highest score over 7 models was created, and the algorithm logic, in which we obtained the highest score according to the data, was developed. In this way, models were associated with limited data and their outputs were analyzed. By choosing models containing more than one logic, the most successful algorithms were created between the test score and the prediction score on the basis of the classification logic and similar data. Data analysis is made using 7 models and it provides the best score results according to the purpose of use according to your data with the help of functions over the scores.