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service-location from group io.github.rothschil (version 1.0.0.RELEASE)

Pippin, was a Hobbit of the Shire, and one of Frodo Baggins' youngest, but closest friends. He was a member of the Fellowship of the Ring and later became the thirty-second Thain of the Shire

Group: io.github.rothschil Artifact: service-location
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Artifact service-location
Group io.github.rothschil
Version 1.0.0.RELEASE
Last update 14. October 2021
Organization not specified
URL https://github.com/rothschil/pippin
License The Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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service-oauth2 from group io.github.rothschil (version 1.0.0.RELEASE)

Pippin, was a Hobbit of the Shire, and one of Frodo Baggins' youngest, but closest friends. He was a member of the Fellowship of the Ring and later became the thirty-second Thain of the Shire

Group: io.github.rothschil Artifact: service-oauth2
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Artifact service-oauth2
Group io.github.rothschil
Version 1.0.0.RELEASE
Last update 14. October 2021
Organization not specified
URL https://github.com/rothschil/pippin
License The Apache License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
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reversegeocode from group com.afrigis.services (version 3.0.2)

The AfriGIS Reverse Geocoding API takes a coordinate (latitude, longitude) and finds the closest address, street or crossing street nearest to the point. It can also determine to what suburb or town the point belongs to.

Group: com.afrigis.services Artifact: reversegeocode
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8 downloads
Artifact reversegeocode
Group com.afrigis.services
Version 3.0.2
Last update 18. July 2017
Organization AfriGIS (Pty) Ltd
URL https://developers.afrigis.co.za/portfolio/reverse-geocoding/
License not specified
Dependencies amount 2
Dependencies core, commons-codec,
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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.

Group: de.cit-ec.ml Artifact: rng
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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
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