Okay, so in my data set if I say I want to do our K means clustering, I can click on the cluster here. Now, I will click on use training set in our attribute audience and then I will choose the algorithm to use. So I will choose di c k means simple k means, if I want to change the setting I can just click on this algorithm here. Okay then I can set the key or the number of cluster maybe I can say the number of cluster two sets, I can choose the distance function the most popular one will be UCD you can choose Manhattan one also can choose the Manhattan distance also Choose the UCD then I changed the number of cluster or the K to be six. So, you can change are the properties also click OK. Then I create stuck Then I apply the clustering result.

So are these are the average average value in the cluster. And then these are all the clustering results shown by these are we call it let's see, I want to try another algorithm. I can choose I see em and Krista, I have other clustering results. So, so this is the simple k means