numpy - Machine Learning clustering with n-dimensional data in Python -

I am trying to find a process to perform clustering on a set of data with 52 dimensions. It is only for learning about my own, so I have a data set of known areas. Data is from using the World Series Data Set I am trying to use only 25-77 columns, so only ignoring the integer, string data.

This is my first attempt on uneducated education and when I understand the concepts, I am struggling to implement it. I am using Sipi and Desh under one solution in Python. If someone has a good place to start or some tips on dealing with this problem, then I appreciate it.

Learning Skiket is the way to go for clustering in Python. For clustering with 64 features, see demo and code with the tutorial and it will be good to apply it to you that you learn in your dataset and then Kashmir means clustering.