title: results of k-means used in R
body: <p>I was using the kmeans instruction of R for performing the k-means algorithm in a dataset. I have a question about some parameters that I go. The results are:</p>
  
  <pre><code>Cluster means:
    Sepal.Length Sepal.Width Petal.Length Petal.Width
  1     5.006000    3.428000     1.462000    0.246000
  </code></pre>
  
  <p>in that case what does Cluster means stands for? It is the mean of the distances of all the objects within the cluster?</p>
  
  <p>Also in the last part I have:</p>
  
  <pre><code>Within cluster sum of squares by cluster:
  [1] 15.15100 39.82097 23.87947
   (between_SS / total_SS =  88.4 %)
  </code></pre>
  
  <p>That value of 88.4% what it could be its interpretation?</p>
  
  <p>Thanks</p>