Accord.NET Framework full changelog

General:
This will be last release that includes an executable installer. If you are still using the installer, please move to NuGet or use the framework compressed archive files.

Imaging:
Creating a new Accord.Imaging.Noncommercial assembly to hold non-commercial imaging methods;
Adding Fast Guided Filter to Accord.Imaging.Noncommercial.

MachineLearning:
Fixing Binary Split's learn method to accept null weights;
Updating Binary Split example to reflect the new API;
Adding constructors to allow tree inducing algorithms to create a tree from scratch;

Statistics:
Fixing multiple issues with statistical analyses classes when they are used using the new classification/regression APIs;
Statistical measures (Measures.cs) have been moved to the Accord.Math assembly,
but have been kept under the Accord.Statistics namespace;
Correcting L2-regularization in Logistic Regression.

General:
· Working on more source code examples for the documentation.

Accord.Math:
· Adding Levenshtein distance for strings.

Accord.Imaging:
· Updating BagOfVisualWords to be fully serializable.

Accord.MachineLearning:
· Adding K-dimensional trees (K-d trees);
· Adding Mean-Shift clustering algorithm;
· Adding support for weights in Gaussian Mixture Models;
· Correcting the name of the K-Nearest Neighbors algorithm;
· Improving K-Nearest Neighbors for double[] using a K-d tree;
· Changing K-Nearest Neighbors generic argument to represent the
· instance type rather than the type of the array of instances.

Accord.Statistics:
· Adding interfaces for density estimation kernels;
· Adding Gaussian, Epanechnikov, Uniform density kernels;
· Adding Bartlett's and Levene's tests for variances;
· Adding hypothesis tests for comparing ROC curves;
· Adding support for scatterplot generation directly from ROC curves;
· Adding running Markov models and running Markov classifier filters;

General:
· Working on more source code examples for the documentation.

Accord.Math:
· Adding Levenshtein distance for strings.

Accord.Imaging:
· Updating BagOfVisualWords to be fully serializable.

Accord.MachineLearning:
· Adding K-dimensional trees (K-d trees);
· Adding Mean-Shift clustering algorithm;
· Adding support for weights in Gaussian Mixture Models;
· Correcting the name of the K-Nearest Neighbors algorithm;
· Improving K-Nearest Neighbors for double[] using a K-d tree;
· Changing K-Nearest Neighbors generic argument to represent the
· instance type rather than the type of the array of instances.

Accord.Statistics:
· Adding interfaces for density estimation kernels;
· Adding Gaussian, Epanechnikov, Uniform density kernels;
· Adding Bartlett's and Levene's tests for variances;
· Adding hypothesis tests for comparing ROC curves;
· Adding support for scatterplot generation directly from ROC curves;
· Adding running Markov models and running Markov classifier filters;

· Accord.Statistics
· Adding data processing filters for data randomization,
· branching, grouping, elimination and imputation;
· Adding Precision, Recall and F-Score in Confusion matrix;
· Adding GrandMean calculation in Statistics.Tools;
· Adding the Negative Binomial, Pareto, Laplace, Inverse
· Gamma, Beta, Wishart, Inverse Wishart, Dirichlet distributions;
· Adding the Two Proportion Z-Test, Paired T-Test and Multinomial test
· Correcting Noncentral T distribution pdf calculation;
· Correcting Skewness and Kurtosis calculations;
· Correcting ANOVA when groups have different sizes;
· Adding support for newer Excel versions in ExcelReader;
· Adding support for different sample weights in HMM learning;
· Adding distinct elements calculation in DescriptiveAnalysis;
· Adding standalone Standard Error computation for ROC curves.

· Accord.MachineLearning
· Redesigning clustering framework to accomodate the
· Binary-Split algorithm, K-Means, K-Modes and GMMs;
· Adding support for cancella