Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 4
Modules | |
Association Rules | |
Contains classes for the association rules algorithm. | |
BACON Outlier Detection | |
Contains classes for computing the multivariate outlier detection. | |
Cholesky Decomposition | |
Contains classes for computing Cholesky decomposition. | |
Correlation Distance Matrix | |
Contains classes for computing the correlation distance. | |
Correlation and Variance-Covariance Matrices | |
Contains classes for computing the correlation or variance-covariance matrix. | |
Cosine Distance Matrix | |
Contains classes for computing the cosine distance. | |
Distributions | |
Contains classes for distributions. | |
Engines | |
Contains classes for engines. | |
Expectation-Maximization | |
Contains classes for the EM for GMM algorithm. | |
K-means Clustering | |
Contains classes for the K-Means algorithm. | |
Kernel Functions | |
Contains classes for computing kernel functions. | |
Math Functions | |
Contains classes for computing math functions. | |
Moments of Low Order | |
Contains classes for computing the results of the low order moments algorithm. | |
Multivariate Outlier Detection | |
Contains classes for computing the multivariate outlier detection. | |
Normalization | |
Contains classes for computing normalization algorithms. | |
Optimization Solvers | |
Contains classes for optimization solver algorithms. | |
Principal Component Analysis | |
Contains classes for computing the results of the principal component analysis (PCA) algorithm. | |
QR Decomposition | |
Contains classes for computing the results of the QR decomposition algorithm. | |
Quality Metrics | |
Contains classes for checking the quality of the classification algorithms. | |
Quantile | |
Contains classes to run the quantile algorithms. | |
Singular Value Decomposition | |
Contains classes to run the singular-value decomposition (SVD) algorithm. | |
Sorting | |
Contains classes to run the sorting algorithms. | |
Univariate Outlier Detection | |
Contains classes for computing results of the univariate outlier detection algorithm. | |
For more complete information about compiler optimizations, see our Optimization Notice.