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Fix/clustering (#44)
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* Adding clustering module to init

* Updating changelog
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avilchess committed Feb 27, 2019
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Expand Up @@ -4,7 +4,61 @@ Changelog

KHIVA uses `Semantic Versioning <http://semver.org/>`_

Version 0.2.0
=============

Added
- KMeans algorithm.
- KShape Algorithm.
- Added Ljung-Box test.
- Installation script for Windows.
- SBD distance function.
- Header checks in all header files from core library and bindings.

Changed
- Implementation improvement of stomp function and find motifs and discords functions.
- Readme and installation Guide have been improved.

Fixed
- PAA method.
- Crosscorrelation function to work with several time series.
- Conan script to work with new conan version.
- Documentation generator to work with new PIP version.
- Cmake path for windows in installation guide.

Version 0.1.0
==============
- Initial version
=============

Added
- Binding for Matlab.
- Statistics namespace.
- Features namespace.
- Dimensionality namespace.
- Polynomial namespace.
- LinAlg namespace.
- Normalization namespace.
- Regression namespace.
- Regularization namespace.
- Support for Windows and Linux (Ubuntu 16.04 LTS).
- Documentation using breathe.
- Async. memory management.
- Operators for Khiva Arrays class for all bindings (Java, Python, C++, R)

Removed
- Simplification namespace.

Version 0.0.1
=============

Added
- We have set Arrayfire as an abstraction layer to run on top of accelerators that are able to run OpenCL.
- Implementation of STOMP method.
- (Mueen's Algorithm for Similarity Search) MASS algorithm implementation.
- Implementation of Simplification algorithms (Visvalingam and PIP).
- Benchmarks Suite (based on Google Benchmark).
- Test Suite (Google Test).
- New Features Algorithms.
- Binding for Python, R, Java.
- Matrix namespace.
- Distances namespace.
- Simplification namespace.

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