title: Clustering for mixed type of 2D data in R
body: <p>I have two data sets, A and B. Each data sets contain multiple coordinates of points.</p>
  
  <p>Now I want to perform a cluster analysis for these two data sets.
  I know there is plenty of clustering methods for 2D data, like hdbscan from R package 'largeVis', and also k-means and dbscan algorithms. And I also know that 'gower' distance can be used for mixed 1d data frames.</p>
  
  <p>However, are there any kinds of algorithms for mixed 2d data? I am looking for a R solution but also open to Python.</p>