SmileMiner (Statistical Machine Intelligence and Learning Engine) is a pure Java library of various state-of-art machine learning algorithms. SmileMiner is self contained and requires only Java standard library.

SmileMiner is well documented and you can browse the javadoc for more information. A basic tutorial is avilable on the project wiki.

To see SmileMiner in action, please download the demo jar file and then run java -jar smile-demo.jar.

• Classification: Support Vector Machines, Decision Trees, AdaBoost, Gradient Boosting, Random Forest, Logistic Regression, Neural Networks, RBF Networks, Maximum Entropy Classifier, KNN, Naïve Bayesian, Fisher/Linear/Quadratic/Regularized Discriminant Analysis.

• Regression: Support Vector Regression, Gaussian Process, Regression Trees, Gradient Boosting, Random Forest, RBF Networks, OLS, LASSO, Ridge Regression.

• Feature Selection: Genetic Algorithm based Feature Selection, Ensemble Learning based Feature Selection, Signal Noise ratio, Sum Squares ratio.

• Clustering: BIRCH, CLARANS, DBScan, DENCLUE, Deterministic Annealing, K-Means, X-Means, G-Means, Neural Gas, Growing Neural Gas, Hierarchical Clustering, Sequential Information Bottleneck, Self-Organizing Maps, Spectral Clustering, Minimum Entropy Clustering.

• Association Rule & Frequent Itemset Mining: FP-growth mining algorithm

• Manifold learning: IsoMap, LLE, Laplacian Eigenmap, PCA, Kernel PCA, Probabilistic PCA, GHA, Random Projection

• Multi-Dimensional Scaling: Classical MDS, Isotonic MDS, Sammon Mapping

• Nearest Neighbor Search: BK-Tree, Cover Tree, KD-Tree, LSH

• Sequence Learning: Hidden Markov Model.

SmileMiner also has a Swing-based data visualization library SmilePlot, which provides scatter plot, line plot, staircase plot, bar plot, box plot, histogram, 3D histogram, dendrogram, heatmap, hexmap, QQ plot, contour plot, surface, and wireframe. The class PlotCanvas provides builtin functions such as zoom in/out, export, print, customization, etc.

SmilePlot requires SwingX library for JXTable. But if your environment cannot use SwingX, it is easy to remove this dependency by using JTable.

Kernel PCA	IsoMap
Multi-Dimensional Scaling	SOM
Neural Network	SVM
Agglomerative Clustering	X-Means
DBScan	Neural Gas
Wavelet	Exponential Family Mixture