I performed and plotted a kmeans analysis in R with the following commands:

 km = kmeans(t(mat2), centers = 4)
 plotcluster(t(mat2), km$cluster)      #from library(fpc)

Here is the result from the plot:![enter image description here][1]

What I want to know is how to make sense of the km$centers attribute and the plot. What I know is that km$centers is a 4 X 31 matrix. Each row represents the corresponding cluster. I think each column represents an iteration in the algorithm (correct me if I am wrong) so the final iteration and result of the algorithm for the centers would be given by:

km$centers[, 31]

 0.008785652 -0.088641371 -0.012666252 -0.079348292 

I must be wrong about a lot because this leads to the following questions:

1. The centers given bykm$centers are not (x, y) coordinates. How do I get these (x, y) center coordinates?
2. The center for cluster 4 (according to the plot) must be something like (12, 2) but the above center numbers do not reflect any of these coordinates. In fact every number in the 4 X 31 matrix is less than 1. So, what is the relationship between km$centers and the plot?

The ultimate goal here is to create a matching (not mentioned here) based upon the (x, y) coordinates.

All help is greatly appreciated! [1]: https://i.sstatic.net/sBWIS.png

I performed and plotted a kmeans analysis in R with the following commands:

 km = kmeans(t(mat2), centers = 4)
 plotcluster(t(mat2), km$cluster)      #from library(fpc)

Here is the result from the plot:

What I want to know is how to make sense of the km$centers attribute and the plot. What I know is that km$centers is a 4 X 31 matrix. Each row represents the corresponding cluster. I think each column represents an iteration in the algorithm (correct me if I am wrong) so the final iteration and result of the algorithm for the centers would be given by:

km$centers[, 31]

 0.008785652 -0.088641371 -0.012666252 -0.079348292 

I must be wrong about a lot because this leads to the following questions:

1. The centers given bykm$centers are not (x, y) coordinates. How do I get these (x, y) center coordinates?
2. The center for cluster 4 (according to the plot) must be something like (12, 2) but the above center numbers do not reflect any of these coordinates. In fact every number in the 4 X 31 matrix is less than 1. So, what is the relationship between km$centers and the plot?

The ultimate goal here is to create a matching (not mentioned here) based upon the (x, y) coordinates.

All help is greatly appreciated!

I performed and plotted a kmeans analysis in R with the following commands:

 km = kmeans(t(mat2), centers = 4)
 plotcluster(t(mat2), km$cluster)      #from library(fpc)

Here is the result from the plot:![enter image description here][1]

What I want to know is how to make sense of the km$centers attribute and the plot. What I know is that km$centers is a 4 X 31 matrix. Each row represents the corresponding cluster. I think each column represents an iteration in the algorithm (correct me if I am wrong) so the final iteration and result of the algorithm for the centers would be given by:

km$centers[, 31]

 0.008785652 -0.088641371 -0.012666252 -0.079348292 

I must be wrong about a lot because this leads to the following questions:

1. The centers given bykm$centers are not (x, y) coordinates. How do I get these (x, y) center coordinates?
2. The center for cluster 4 must be something like (12, 2) but the above center numbers do not reflect any of these coordinates. In fact every number in the 4 X 31 matrix is less than 1. So, what is the relationship between km$centers and the plot?

The ultimate goal is to look at an individual point in the plot and be able to access its information. I plan on doing this by matching (x, y) coordinates.

All help is greatly appreciated! [1]: https://i.sstatic.net/sBWIS.png

I performed and plotted a kmeans analysis in R with the following commands:

 km = kmeans(t(mat2), centers = 4)
 plotcluster(t(mat2), km$cluster)      #from library(fpc)

Here is the result from the plot:![enter image description here][1]

What I want to know is how to make sense of the km$centers attribute and the plot. What I know is that km$centers is a 4 X 31 matrix. Each row represents the corresponding cluster. I think each column represents an iteration in the algorithm (correct me if I am wrong) so the final iteration and result of the algorithm for the centers would be given by:

km$centers[, 31]

 0.008785652 -0.088641371 -0.012666252 -0.079348292 

I must be wrong about a lot because this leads to the following questions:

1. The centers given bykm$centers are not (x, y) coordinates. How do I get these (x, y) center coordinates?
2. The center for cluster 4 (according to the plot) must be something like (12, 2) but the above center numbers do not reflect any of these coordinates. In fact every number in the 4 X 31 matrix is less than 1. So, what is the relationship between km$centers and the plot?

The ultimate goal here is to create a matching (not mentioned here) based upon the (x, y) coordinates.

All help is greatly appreciated! [1]: https://i.sstatic.net/sBWIS.png