How to find out cluster center mean of DBSCAN in R

0 votes

By using dbscan in package fpc I am able to get an output of the following:

dbscan Pts=322 MinPts=20 eps=0.005
        0   1
seed    0 233
border 87   2
total  87 235

 I need to find the cluster center (mean of the cluster with most seeds). 

Can anyone show me how to proceed with this?

Thank you.

Jun 27, 2018 in Data Analytics by CodingByHeart77
• 3,720 points
742 views

1 answer to this question.

0 votes

Just index back into the original data using the cluster ID of your choice. Then you can easily do whatever further processing you want to the subset. Here is an example:

library(fpc)

n = 100
set.seed(12345)
data = matrix(rnorm(n*3), nrow=n)
data.ds = dbscan(data, 0.5)
> data.ds
dbscan Pts=100 MinPts=5 eps=0.5
        0 1 2 3
seed    0 1 3 1
border 83 4 4 4
total  83 5 7 5
> colMeans(data[data.ds$cluster==0, ])
[1]  0.28521404 -0.02804152 -0.06836167
answered Jun 27, 2018 by Sahiti
• 6,360 points

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