I am newbie to Mahout and working on a data mining clustering use case using K-Means. I need a help to understand how to map the original data with the clustered output to gain more insight. Let say
After performing data preparation we have a summarized data set having following attributes Key1,Key2,Dimension1,Dimension2,Measure1,Measure2,Measure3 Now I have executed clustering algorithm on following attributes Measure1,Measure2,Measure3 Output of the clustering would be Cluster Id with its data(Measure1,Measure2,Measure3). Question: How can I perform clustering on specific attributes in dataset, where the clustered output must contain all attributes. Request to help me with right approach. -- Regards Bikash Gupta
