Machine Learning with Aster !

I am now working with Aster to do Machine Learning and statistics. Here are the functions you can use :

• Approximate Distinct Count : to quickly estimates the number of distinct values
• Approximate Percentile :  to computes approximate percentiles
• Correlation : to determine if one variable is useful for predicting an other
• Generalized Linear Regression & Prediction : to perform linear regression analysis
• Principal Component Analysis : for dimensionality reduction 
• Simple | Weighted | Exponential Moving Average : compute average with special algortihm
• K-Nearest Neighbor : classification algorithm based on proximity
• Support Vector Machines : build a SVM model and do prediction 
• Confusion Matrix [Plot] : visualize ML algorithm performance
• Kmeans : famous clustering algorithm
• Minhash : Another clustering technic which depends on the set of products bought by users
• Naïve Bayes : useful classification method especially for documents
• Random Forest Functions : predictive modelling approaches broadly used for supervised classification learning