Download JAR files tagged by matrix with all dependencies
ujmp from group org.ujmp (version 0.3.0)
The Universal Java Matrix Package (UJMP) is an open source library for dense and sparse matrix computations and
linear algebra in Java. In addition to the basic operations like matrix multiplication, matrix inverse or
decomposition methods, it also supports visualization, JDBC import/export and many other useful functions such
as mean, correlation, standard deviation, mutual information, or the replacement of missing values.
It's a swiss army knife for data processing in Java, tailored to machine learning applications.
Group: org.ujmp Artifact: ujmp
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Artifact ujmp
Group org.ujmp
Version 0.3.0
Last update 30. July 2015
Organization Universal Java Matrix Package
URL https://ujmp.org/
License GNU LESSER GENERAL PUBLIC LICENSE
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group org.ujmp
Version 0.3.0
Last update 30. July 2015
Organization Universal Java Matrix Package
URL https://ujmp.org/
License GNU LESSER GENERAL PUBLIC LICENSE
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
jsci from group net.sf.jsci (version 1.2)
JSci is a set of open source Java packages. The aim is to encapsulate scientific methods/principles in the most natural way possible. As such they should greatly aid the development of scientific based software.
It offers: abstract math interfaces, linear algebra (support for various matrix and vector types), statistics (including probability distributions), wavelets, newtonian mechanics, chart/graph components (AWT and Swing), MathML DOM implementation, ...
Note: some packages, like javax.comm, for the astro and instruments package aren't listed as dependencies (not available).
Artifact jsci
Group net.sf.jsci
Version 1.2
Last update 28. April 2012
Organization physics.org
URL http://jsci.sourceforge.net/
License GNU Lesser General Public License 2.1
Dependencies amount 3
Dependencies lpsolve, mathml-dom-java, xercesImpl,
There are maybe transitive dependencies!
Group net.sf.jsci
Version 1.2
Last update 28. April 2012
Organization physics.org
URL http://jsci.sourceforge.net/
License GNU Lesser General Public License 2.1
Dependencies amount 3
Dependencies lpsolve, mathml-dom-java, xercesImpl,
There are maybe transitive dependencies!
patrius from group fr.cnes.sirius.patrius (version 4.8.1)
PATRIUS is a core space dynamics Java library that enables to quickly develop high level algorithms such as orbit extrapolator. PATRIUS contains several sub-libraries that work together and cover low level classes (i.e.: such as matrix, vectors, orbits parameters) as well as high level classes and interfaces (i.e.: numerical propagators, attitude laws, manoeuvers sequences).
All the main domains of space dynamics are available:
Analysis, algebra and geometry core library (quaternions, derivable functions, integrators …)
Core objects for space dynamics (dates, orbits, frames...)
Orbit propagation: analytical, semi-analytical and numerical propagators, a full set of force models
Maneuvers: impulsive or continuous thrust, sequences
Attitude: extensible set of attitude laws, sequences and guidance framework
Events: event detection (orbital, sensor events, etc.) and post-processing (chronograms)
Spacecraft: characteristics of mass, geometry (drag force), sensors field of view, etc.
Artifact patrius
Group fr.cnes.sirius.patrius
Version 4.8.1
Last update 09. August 2022
Organization CNES
URL https://patrius.cnes.fr
License The Apache Software License, Version 2.0
Dependencies amount 2
Dependencies jafama, junit,
There are maybe transitive dependencies!
Group fr.cnes.sirius.patrius
Version 4.8.1
Last update 09. August 2022
Organization CNES
URL https://patrius.cnes.fr
License The Apache Software License, Version 2.0
Dependencies amount 2
Dependencies jafama, junit,
There are maybe transitive dependencies!
rng from group de.cit-ec.ml (version 1.0.0)
This is an implementation of the Neural Gas algorithm on
distance data (Relational Neural Gas) for unsupervised clustering.
We recommend that you use the functions provided by the RelationalNeuralGas
class for your purposes. All other classes and functions are utilities which
are used by this central class. In particular, you can use RelationalNeuralGas.train()
to obtain a RNGModel (i.e. a clustering of your data), and subsequently
you can use RelationalNeuralGas.getAssignments() to obtain the resulting
cluster assignments, and RelationalNeuralGas.classify() to cluster new points
which are not part of the training data set.
The underlying scientific work is summarized nicely in the dissertation
"Topographic Mapping of Dissimilarity Datasets" by Alexander Hasenfuss
(2009).
The basic properties of an Relational Neural Gas algorithm are the following:
1.) It is relational: The data is represented only in terms of a pairwise
distance matrix.
2.) It is a clustering method: The algorithm provides a clustering model,
that is: After calculation,
each data point should be assigned to a cluster (for this package here we
only consider hard clustering, that is: each data point is assigned to
exactly one cluster).
3.) It is a vector quantization method: Each cluster corresponds to a
prototype, which is in the center of the
cluster and data points are assigned to the cluster if and only if they are
closest to this particular prototype.
4.) It is rank-based: The updates of the prototypes depend only on
the distance ranking, not on the absolute value of the distances.
Artifact rng
Group de.cit-ec.ml
Version 1.0.0
Last update 26. January 2018
Organization not specified
URL https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas
License The GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group de.cit-ec.ml
Version 1.0.0
Last update 26. January 2018
Organization not specified
URL https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas
License The GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
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