ELKI is described as ': "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It includes a large variety of popular data mining algorithms, distance functions and index structures' and is a Data Mining software in the business & commerce category. There are more than 10 alternatives to ELKI for a variety of platforms, including Linux, Mac, Windows, BSD and Web-based apps. The best ELKI alternative is R (programming language), which is both free and Open Source. Other great apps like ELKI are GNU Octave, SageMath, MATLAB and SciPy.
R is a free software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be consider.
Octave is a computer program for performing numerical computations which is mostly compatible with MATLAB . It is part of the GNU Project. It is free software under the terms of the GNU General Public License.
SageMath is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.
High-level environment supporting numerical computation, visualization, matrix operations, algorithm development, custom interfaces, integration with external languages, symbolic and model-based simulation, and specialized toolboxes for fields like engineering.
SciPy is a collection of mathematical algorithms and convenience functions built on NumPy. It adds significant power to Python by providing the user with high-level commands and classes for manipulating and visualizing data.
Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an...
Scilab is free and open source software for numerical computation providing a powerful computing environment for engineering and scientific applications. Scilab includes hundreds of mathematical functions.
NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including...
Orange is an open-source, cross-platform data mining and machine learning suite. It features visual programming as intuitive means of combining data analysis and interactive visualization methods into powerful workflows.
RapidMiner makes data science teams more productive through an open source platform for data prep, machine learning, and model deployment.
Knime is a java open-source, cross-platform application which name means "Konstanz Information Miner". It is actually used extensively for data mining, data analysis and optimization. It can be downloaded as the core application itself(Knime Desktop), or the whole SDK...
Weka is a collection of machine learning algorithms for data mining tasks; with its own GUI.
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