Dear Md Junayed Hasan,

Thank you for your time and answer..

I will go through it...

In line with MD Junayed,

Unsupervised learning used for clustering which means the structure by cluster could be derived of the data based on relationships among the variables in the data.

With unsupervised learning there is no feedback based on the prediction results.

I think its better to first learn the feature and then classify it through unsupervised learning. or if you already know the classification of features use supervised learning in second stage.

Dear Maryam kh,

Thank you for your time.

My goal is to cluster the similar samples within the data automatically rather than manually taking the input for number of clusters.

I want to get the number of clusters automatically rather than user defined value.

Yes, off-course we can learn features in unsupervised passion, but how can we go ahead to count the possible number of clusters within the data?