I have the data in 50 by 50 Matrix that represents the 50 Journals with their correlation. Now, I am trying to plot the graph showing on which clusters those 50 Journals fall based on the data.
1) I prefer to use complete-linkage or Ward's method to do the clusters. 2) I am stuck at where to begin the clustering as the documentation in scikit-learn is too technical for me 3) Could you please help me to give a kick-start?
Thank you very much in advance...
My all data falls between -1 and 1 as it is correlation coefficients.
Example of Data Sample (50*50):
data = [[ 1. 0.49319094 0.58838586 ..., 0.11433441 0.6450184 0.60842821]
[ 0.49319094 1. 0.39311674 ..., -0.00795401 0.42944597 0.68855177]
[ 0.58838586 0.39311674 1. ..., 0.39785574 0.864322 0.68910632]
...,
[ 0.11433441 -0.00795401 0.39785574 ..., 1. 0.38623474 0.34228516]
[ 0.6450184 0.42944597 0.864322 ..., 0.38623474 1. 0.65408474]
[ 0.60842821 0.68855177 0.68910632 ..., 0.34228516 0.65408474 1. ]]