title: Hierarchical Cluster using dissimilarity matrix R
body: <p>I have mixed data type matrix <strong>Data_string</strong> size (947 x 41) that contain numeric and categorical attributes.</p>
  
  <p>I produced a distance matrix (947 x 947) using the daisy() function and Gower distance measure in Rstudio. </p>
  
  <pre><code>d  &lt;- daisy(Data_String, metric = "gower", stand = FALSE,type = list(symm = c("V1","V13") , asymm = c("V8","V9","V10")))
  </code></pre>
  
  <p>I applied hierarchical Cluster using dissimilarity matrix  (d).</p>
  
  <pre><code># hclust
  hc &lt;- hclust(d, method="complete")
  plot(hc)
  rect.hclust(hc, 4)
  cut &lt;- cutree(hc, k = 1:5)
  View(cut)
  
  #Diana
  d_as &lt;- as.matrix(d)
  DianaCluster &lt;- diana(d_as, diss = TRUE, keep.diss = TRUE)
  print(DianaCluster)
  plot(DianaCluster)
  </code></pre>
  
  <p>The following is the plots I had.</p>
  
  <p><a href="https://i.stack.imgur.com/Gbspc.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Gbspc.png" alt="Diana_plot"></a>
  </p>
  
  <p><a href="https://i.stack.imgur.com/x9WdZ.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/x9WdZ.png" alt="hclust_plot"></a>
  </p>
  
  <p>** Note: I couldn't upload the image here since I do not have enough reputation's points.</p>
  
  <p>I am struggling to understand the results, can anyone please </p>
  
  <p>1- suggest any solution that I can apply in R to simplify the understanding of my results.</p>
  
  <p>or</p>
  
  <p>2- how I can link it to my source data, since all the results are based on the dissimilarity matrix. </p>