k mean clustering on ip address

2 次查看（过去 30 天）

Jay Hanuman 2016-11-26

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/314066-k-mean-clustering-on-ip-address

评论： Walter Roberson 2016-11-27

n1d.mat

I attached ip address data file. I want to apply k mean clustering on ip address data, how to do it. as ip address has 4 numbers can it possible to map data in 4 dimension and form cluster.

1 个评论
显示 -1更早的评论隐藏 -1更早的评论

Image Analyst 2016-11-27

It should be able to. Make the array into 4 columns with as many rows as you have ip addresses. How many clusters did you want, k? And do you want k clusters on the 4-D array as a whole, or k clusters on each set of numbers separately/individually?

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Walter Roberson 2016-11-26

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/314066-k-mean-clustering-on-ip-address#answer_244786

Map each entry into a row vector of a 2D array and cluster on the 2D array that results.

4 个评论
显示 2更早的评论隐藏 2更早的评论

Jay Hanuman 2016-11-27

but how to cluster on the 2D array

Walter Roberson 2016-11-27

https://www.mathworks.com/help/stats/kmeans.html

"idx = kmeans(X,k) performs k-means clustering to partition the observations of the n-by-p data matrix X into k clusters, and returns an n-by-1 vector (idx) containing cluster indices of each observation. Rows of X correspond to points and columns correspond to variables."

请先登录，再进行评论。

请先登录，再回答此问题。