The implementation of algorithms in Mahout can be categorized into two groups:
Examples of these algorithms are user-based collaborative filtering, logistic regression, Hidden Markov Model, multi-layer perceptron, and singular value decomposition.
Examples of these algorithms are Random Forest, Naïve Bayes, Canopy clustering, K-means clustering, spectral clustering, ...
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