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Fix/clustering (#44)
* Adding clustering module to init * Updating changelog
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CHANGES.rst

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@@ -4,7 +4,61 @@ Changelog
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KHIVA uses `Semantic Versioning <http://semver.org/>`_
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Version 0.2.0
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=============
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Added
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- KMeans algorithm.
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- KShape Algorithm.
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- Added Ljung-Box test.
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- Installation script for Windows.
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- SBD distance function.
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- Header checks in all header files from core library and bindings.
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Changed
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- Implementation improvement of stomp function and find motifs and discords functions.
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- Readme and installation Guide have been improved.
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Fixed
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- PAA method.
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- Crosscorrelation function to work with several time series.
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- Conan script to work with new conan version.
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- Documentation generator to work with new PIP version.
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- Cmake path for windows in installation guide.
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Version 0.1.0
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==============
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- Initial version
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=============
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Added
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- Binding for Matlab.
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- Statistics namespace.
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- Features namespace.
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- Dimensionality namespace.
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- Polynomial namespace.
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- LinAlg namespace.
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- Normalization namespace.
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- Regression namespace.
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- Regularization namespace.
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- Support for Windows and Linux (Ubuntu 16.04 LTS).
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- Documentation using breathe.
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- Async. memory management.
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- Operators for Khiva Arrays class for all bindings (Java, Python, C++, R)
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Removed
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- Simplification namespace.
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Version 0.0.1
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=============
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Added
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- We have set Arrayfire as an abstraction layer to run on top of accelerators that are able to run OpenCL.
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- Implementation of STOMP method.
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- (Mueen's Algorithm for Similarity Search) MASS algorithm implementation.
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- Implementation of Simplification algorithms (Visvalingam and PIP).
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- Benchmarks Suite (based on Google Benchmark).
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- Test Suite (Google Test).
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- New Features Algorithms.
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- Binding for Python, R, Java.
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- Matrix namespace.
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- Distances namespace.
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- Simplification namespace.

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