title: Clustering Algorithm with discrete and continuous attributes?
body: <p>Does anyone know a good algorithm for perform clustering on both discrete and continuous attributes? I am working on a problem of identifying a group of similar customers and each customer has both discrete and continuous attributes (Think type of customers, amount of revenue generated by this customer, geographic location and etc..)</p>
  
  <p>Traditionally algorithm like K-means or EM work for continuous attributes, what if we have  a mix of continuous and discrete attributes?</p>