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I tried to apply k-means clustering in R and I Is there a function in R that takes the centers of clusters that since it doesn't have a reproducible example.
 Here is another example for you, try and come up with the solution based on your understanding of K-means clustering. K-means Clustering - Example 2:
 Lab 13 — Cluster Analysis For example, to get 5 clusters, use To perform fixed-cluster analysis in R we use the pam() 
 1.Objective First of all we will see what is R Clustering, Implementation of Hierarchical Clustering in R and examples of R clustering in various fields. 
 ##### ##### # # R example code for cluster analysis 
 Package 'apcluster' July 4, 2017 Type Package Title Af?nity Propagation Clustering Version 1.4.4 Date 2017-07-01 Examples ## create two Gaussian clouds
 R Script for K-Means Cluster Analysis. This produces an "elbow" in the plot of SSE against cluster solutions. In the example shown below, 
 Clustering categorical data with R. The within-cluster simple-matching distance for each cluster; Here's an example what it looks like when output to 
 @user3875610 The transition to k-means is not very intuitive, since one can't use a distance matrix as an input to k-means (it can't compute means with only distances).
 Cluster Analysis: Basic Concepts and Algorithms Cluster analysisdividesdata into groups (clusters) For example, clustering has been used to identify
 Being a newbie in R, I'm not very sure how to choose the best number of clusters to do a k-means analysis. After plotting a subset of below data, how many clusters 
 Being a newbie in R, I'm not very sure how to choose the best number of clusters to do a k-means analysis. After plotting a subset of below data, how many clusters 
 Package 'cluster ' March 16, 2017 SuggestsNote two small examples using MASS' cov.rob() tween the points in one cluster and the points in the other cluster.
 There are many decisions that have to be made in order to use the strategy of representative-based clustering. For example, Cluster R package.
 K-Means Clustering Description. Perform k-means clustering on a data matrix. Usage Examples require(graphics) # a 2-dimensional example x <- rbind(matrix 

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