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Next Release notes.txt
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Catalano Framework 1.6 road map
-----------------------------------------
* Catalano.Core
- Added: Shuffle in the ArraysUtil.
* Catalano.Image
- Added: clampValues in the FastBitmap class.
* Catalano.Image.Filters
- New: Ensemble Threshold.
- New: Perona-Malik Anisotropic Diffusion.
- New: Histogram Adjust.
- New: Shrink.
- New: Hue Modifier.
- New: Principal Component Transform.
- Added: new method (setInRGB(), setOutRGB()) in the LevelsLinear.
- Renamed: Watershed to BinaryWatershed.
- Fixed: Kuwahara.
- Fixed: Crop now is working in both coordinate system.
* Catalano.Image.Filters.Integral
- New: Integral Mean.
- New: Integral Variance.
* Catalano.Image.Tools
- Added: Euler Number in the Shape Descriptors.
- Added: new methods and ctor in the Curve.
- Fixed: RGBtoHSL in ColorConverter.
* Catalano.IO
- Fixed: NaN values in the method ReadAsDouble().
* Catalano.MachineLearning.
- New: Dataset Regression.
- Added: normalize and standartize feature.
- Added: new ctor in Dataset Classification.
- Added: ignore attribute info in the dataset classification.
- Reworked: Standartization class.
- Reworked: Normalization class.
- Fixed: Normalization and Standartize in the DatasetClassification.
* Catalano.MachineLearning.Classification
- New: Minimum Mean Distance.
* Catalano.MachineLearning.Classification.DecisionTrees
- Added: Classification error in the Decision tree.
* Catalano.MachineLearning.Classification.DecisionTrees.Learning
- Added: Split rule support in the Random Forest.
* Catalano.MachineLearning.Clustering
- New: KMeans.
* Catalano.MachineLearning.FeatureSelection.
- New: Mean Variance Feature Selection.
- New: Random Forest Feature Selection.
- New: Principal Components Feature Selection.
* Catalano.MachineLearning.Performance
- New: Holdout Validation (Regression support).
- New: Leave One Out Cross Validation (Regression support).
- New: Regression Measure.
* Catalano.Math
- Added: Mahalanobis in Distance.
- Added: Trace in Matrix.
- Fixed: MultiplyByTranspose in the Matrix.
- Fixed: Multiply in the Matrix.
* Catalano.Statistics
- Added: Covariance (for to create covariance matrix) in Tools.
- Fixed: Covariance
* Catalano.Statistics.Analysis
- New: Principal Component Analysis