Mahout Reference|書籍線上App不用買

This app provides access to complete Apache Mahout wiki and reference, and you can get all you need to know about Mahout, an Apache top line project to create scalable, machine learning algorithms.

As of now, Apache Mahout supports the following algorithms:

K-Means Clustering

Fuzzy K-Means

Canopy Clustering

Mean Shift Clustering

Hierarchical Clustering

Dirichlet Process Clustering

Latent Dirichlet Allocation

Collocations

Dimensional Reduction

Expectation Maximization

Gaussian Discriminative Analysis

Independent Component Analysis

Principal Components Analysis

Bayesian

Locally Weighted Linear Regression

Logistic Regression

Neural Network

Hidden Markov Models

Random Forests

Perceptron and Winnow

Support Vector Machines

Parallel Frequent Pattern Mining

Boosting

Collaborative Filtering with ALS-WR

Itembased Collaborative Filtering

Machine Learning Resources

Minhash Clustering

Online Passive Aggressive

Online Viterbi

Parallel Viterbi

Recommender First-Timer FAQ

RowSimilarityJob

Spectral Clustering

Stochastic Singular Value Decomposition

Top Down Clustering

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