I have question related Mahout clustering and classification algorithms: 1. I have a csv file with attributes for each instance. How to use csv file as input to mahout canopy clustering to identify number of clusters ?
2. How to separate out instances into clusters after mahout kmeans clustering ? 3. Using mahout Stochastic Gradient Descent (sgd) to create model and this model in serialized. Model is stored in binary format. I have requirement to use this model in non-java (c/c++) application. How to use this model in this application. Your valuable comments are appreciated. ! Thanks, Rajesh
