friends. I am currently being introduced to kmean clustering and am having trouble understanding what the results mean. I have 4 clusters, and I have attained a summary of those clusters.
seg.summ(cust_data.df.num2, cust_data.kmeans_seg_4$cluster)
Group.1 HHIncome_2 DebtToIncomeRatio LoanDefault_num CardTenure
1 1 -0.22328756 -0.33389344 -0.552958235 -0.6115423
2 2 -0.07618167 0.07149559 -0.551462953 1.1042300
3 3 2.92682452 -0.06885184 -0.006807558 0.8886379
4 4 -0.22421249 0.52869124 1.803827479 -0.6775257
Does this mean that the higher the number (whether negative or positive), the more involved that characteristic is with that specific cluster?
I have searched google high and low, and haven't found a reasonable answer to this situation.