You can use the most basic clustering algorithm i.e Kmeans clustering for grouping your data into n classes....

Dear Neha Goyal ,

The easiest way is KMeans clustering, then you can try other algorithms such as KMeans, Mean Shift, DBSCAN,... to see the performance.

https://en.wikipedia.org/wiki/K-means_clustering

https://towardsdatascience.com/unsupervised-machine-learning-clustering-analysis-d40f2b34ae7e

https://en.wikipedia.org/wiki/Cluster_analysis

since the data set has classes, different classifiers such as decision trees, naive bayesian, neural networks, svm can be used. I suggest weka for experimentation as an early step

Use Kmeans with Scikit-learn. I think mean shift algorithm decides its own classes.