Description

<dependency>
    <groupId>de.cit-ec.ml</groupId>
    <artifactId>rng</artifactId>
    <version>1.0.0</version>
</dependency>

<?xml version="1.0" encoding="UTF-8"?>
<!--
Relational Neural Gas

Copyright (C) 2015-2017
Benjamin Paaßen
AG Machine Learning
Centre of Excellence Cognitive Interaction Technology (CITEC)
University of Bielefeld

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <http://www.gnu.org/licenses/>.
-->

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	<modelVersion>4.0.0</modelVersion>
	<groupId>de.cit-ec.ml</groupId>
	<artifactId>rng</artifactId>
	<version>1.0.0</version>
	<packaging>jar</packaging>

	<name>Relational Neural Gas</name>
	<description>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.
	</description>
	<url>https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas</url>

	<properties>
		<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
		<maven.compiler.source>1.7</maven.compiler.source>
		<maven.compiler.target>1.7</maven.compiler.target>
		<netbeans.hint.license>gpl_license_header</netbeans.hint.license>
	</properties>

	<licenses>
		<license>
			<name>The GNU General Public License, Version 3</name>
			<url>https://gnu.org/licenses/gpl.html</url>
		</license>
	</licenses>
	<developers>
		<developer>
			<name>Benjamin Paaßen</name>
			<email>bpaassen@techfak.uni-bielefeld.de</email>
			<organization>Centre of Excellence - Cognitive Interaction Technology (CITEC),
				Faculty of Technology,
				Bielefeld University</organization>
			<organizationUrl>https://cit-ec.de/tcs</organizationUrl>
		</developer>
	</developers>

	<scm>
		<connection>scm:git:https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas.git</connection>
		<developerConnection>scm:git:https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas.git</developerConnection>
		<url>https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas</url>
	</scm>

	<dependencies>
		<dependency>
			<groupId>junit</groupId>
			<artifactId>junit</artifactId>
			<version>4.10</version>
			<scope>test</scope>
		</dependency>
	</dependencies>

	<!-- Default build properties -->
	<build>
		<plugins>
			<plugin>
				<groupId>org.apache.maven.plugins</groupId>
				<artifactId>maven-compiler-plugin</artifactId>
				<version>3.7.0</version>
				<configuration>
					<source>1.7</source>
					<target>1.7</target>
				</configuration>
			</plugin>
			<!-- javadoc plugin for javadoc generation without Netbeans -->
			<plugin>
				<groupId>org.apache.maven.plugins</groupId>
				<artifactId>maven-javadoc-plugin</artifactId>
				<version>2.10.3</version>
				<configuration>
					<bottom>Copyright (C) 2015-2017 Benjamin Paaßen, AG Machine Learning, Centre of Excellence Cognitive Interaction Technology (CITEC), University of Bielefeld, licensed under the GPL v. 3: https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas . This documentation is licensed under the conditions of CC-BY-SA 4.0: https://creativecommons.org/licenses/by-sa/4.0/</bottom>
				</configuration>
			</plugin>
		</plugins>
	</build>

	<profiles>
		<!-- This is a special profile for deploying a version, which generates
		everything the mvn central repository requires. For all non-deploying builds
		this is irrelevant. -->
		<profile> 
			<id>release</id>
			<build>
				<plugins>
					<!-- Nexus Staging Plugin for Deploying to central repository -->
					<plugin>
						<groupId>org.sonatype.plugins</groupId>
						<artifactId>nexus-staging-maven-plugin</artifactId>
						<version>1.6.7</version>
						<extensions>true</extensions>
						<configuration>
							<serverId>ossrh</serverId>
							<nexusUrl>https://oss.sonatype.org/</nexusUrl>
							<autoReleaseAfterClose>true</autoReleaseAfterClose>
						</configuration>
					</plugin>
					<!-- Maven Source Plugin for generating a jar containing all sources.
					This is required by the maven central repository. -->
					<plugin>
						<groupId>org.apache.maven.plugins</groupId>
						<artifactId>maven-source-plugin</artifactId>
						<version>2.2.1</version>
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							<execution>
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					<!-- Maven Javadoc Plugin for generating a jar containing all javadoc.
					This is required by the maven central repository. -->
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						<artifactId>maven-javadoc-plugin</artifactId>
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								</goals>
							</execution>
						</executions>
					</plugin>
					<!-- Maven PGP Plugin for generating a pgp signature of the project.
					This is required by the maven central repository. -->
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						<groupId>org.apache.maven.plugins</groupId>
						<artifactId>maven-gpg-plugin</artifactId>
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						<executions>
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								<id>sign-artifacts</id>
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		</profile>
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</project>