How to cluster center mean of DBSCAN in R?

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Using dbscan in package fpc I am able to get an output of:

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

but I need to find the cluster center (mean of cluster with most seeds). Can anyone show me how to proceed with this?

Jun 25, 2018 in Data Analytics by darklord
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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 25, 2018 by DataKing99
• 8,100 points

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