SmileMiner:开源统计机器智能与学习引擎
SmileMiner是一个汇集了各种机器学习算法的纯Java函数库,它是自包含的,仅仅需要Java标准库。主要部件为:Smile,-Math,-Data,-Graph,-Interpolation,-NLP。不可多得的Java机器学习库,其文档和示例都挺赞!
- Core The core machine learning library
- Math Linear algebra, statistical distribution, hypothesis tests, random number generators, sort, special functions, various kernel, distance and rbf functions.
- Data Parsers for arff, libsvm, delimited text, sparse matrix, microarray gene expression data.
- Graph Graph algorithms on adjacency list and matrix.
- Interpolation One and two dimensional interpolation.
- NLP Natural language processing.
- Plot Swing-based data visualization library.
Smile implements the following major machine learning algorithms
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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.
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Regression Support Vector Regression, Gaussian Process, Regression Trees, Gradient Boosting, Random Forest, RBF Networks, OLS, LASSO, Ridge Regression.
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Feature Selection Genetic Algorithm based Feature Selection, Ensemble Learning based Feature Selection, Signal Noise ratio, Sum Squares ratio.
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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.
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Association Rule & Frequent Itemset Mining FP-growth mining algorithm
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Manifold learning IsoMap, LLE, Laplacian Eigenmap, PCA, Kernel PCA, Probabilistic PCA, GHA, Random Projection
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Multi-Dimensional Scaling Classical MDS, Isotonic MDS, Sammon Mapping
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Nearest Neighbor Search BK-Tree, Cover Tree, KD-Tree, LSH
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Sequence Learning Hidden Markov Model, Conditional Random Field.
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Natural Language Processing Sentence Splitter and Tokenizer, Bigram Statistical Test, Phrase Extractor, Keyword Extractor, Stemmer, POS Tagging, Relevance Ranking
官方网站:http://www.open-open.com/lib/view/home/1456567701468</p> </strong>