Compute Mean Value of Each Cluster for an Ignored Attribute
how do I ignore an attribute
then later display the average value of that ignored attitude for each cluster?
My scenario as follows:
I have a dataset.
Each example is a student, with a set of attributes.
The attributes are the student’s ‘input’ characteristics, and one attribute being the student’s achievement test scores.
How do I ignore the student’s test scores during clustering, so that cluster is merely done based on student’s input characteristics?
But, at the end of the clustering process, link the students in each cluster to their achievement test scores, and compute the mean (average) test scores for the students from each cluster?