hi.id not know if it is a right pace to ask but since i am working with knime to get the job done i asked it here:
i have a dataset which contains of rating data about 1600 movies(movielens dataset) and user demographic data..
i want to implement k-emans but the value ok k should be somehow determined based on attribute correlation meaning:
verify whether users with similar demographic profiles such as age, gender, occupation, location, etc. are grouped in the same clusters. We use the value of attribute autocorrelation as a parameter for determining the optimal number of clusters.
i just do not get the idea ....
can anyone plase help?