ELKI [SEP] programming language
ELKI
ELKI (for "Environment for DeveLoping KDD-Applications Supported by Index-Structures") is a knowledge discovery in databases (KDD, "data mining") software framework developed for use in research and teaching originally at the database systems research unit of Professor Hans-Peter Kriegel at the Ludwig Maximilian University of Munich, Germany. It aims at allowing the development and evaluation of advanced data mining algorithms and their interaction with database index structures.
Description.
The ELKI framework is written in Java and built around
dimensionality, the Monte Carlo method results, the number of iterations, the assessment of stability, and the proportional variance of each axis (r-square).
Implementations.
- ELKI includes two MDS implementations.
- MATLAB includes two MDS implementations (for classical ("cmdscale") and non-classical ("mdscale") MDS respectively).
- The R programming language offers several MDS implementations.
- sklearn contains function sklearn.manifold.MDS, and can be used via Orange.
See also