r - 我如何解释这些R kmean的结果？(How am I to interpret these R kmean results?)

Question

friends.

(朋友们。)

I am currently being introduced to kmean clustering and am having trouble understanding what the results mean.

(我目前正被介绍到kmean聚类中，并且在理解结果的含义时遇到了麻烦。)

I have 4 clusters, and I have attained a summary of those clusters.

(我有4个集群，并且已经获得了这些集群的摘要。)

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?

(这是否意味着数字越高（无论是负数还是正数），该特征与特定簇的关联就越多？)

I have searched google high and low, and haven't found a reasonable answer to this situation.

(我已经搜索了谷歌谷歌，但没有找到这种情况的合理答案。)

  ask by Matthew Lynn translate from so

Answer 1

等待大神答复