Software

Archetypal Analysis Package

Commonwealth Scientific and Industrial Research Organisation

Motevalli Soumehsaraei, Ben ; Barnard, Amanda

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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/5d3958889f7ff&rft.title=Archetypal Analysis Package&rft.identifier=https://doi.org/10.25919/5d3958889f7ff&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This package is a python implementation of the Archetypal Analysis (AA) proposed by Cutler and Breiman (1994). The package is developed in a similar style to the sklearn libraries which are familiar to the machine learning (ML) community. The main functions are fit, fit_transform, and transform. By calling the fit (fit_transform) function, the archetypes of the data set are extracted. In addition, a range of utility functions are provided to perform different visualisations. A tutorial Jupyter notebook demonstrates the functionalities that the package offers.&rft.creator=Motevalli Soumehsaraei, Ben &rft.creator=Barnard, Amanda &rft.date=2019&rft.edition=v1&rft_rights=CSIRO Open Source Software Licence (Based on MIT/BSD Open Source Licence) https://research.csiro.au/dap/licences/csiro-open-source-software-licence-based-on-mit-bsd-open-source-licence/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2019.&rft_subject=archetype analysis&rft_subject=unsupervised learning&rft_subject=matrix factorization&rft_subject=Artificial intelligence not elsewhere classified&rft_subject=Artificial intelligence&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft.type=Computer Program&rft.language=English Access the software

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CSIRO Open Source Software Licence (Based on MIT/BSD Open Source Licence)
https://research.csiro.au/dap/licences/csiro-open-source-software-licence-based-on-mit-bsd-open-source-licence/

Data is accessible online and may be reused in accordance with licence conditions

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Brief description

This package is a python implementation of the Archetypal Analysis (AA) proposed by Cutler and Breiman (1994). The package is developed in a similar style to the sklearn libraries which are familiar to the machine learning (ML) community. The main functions are "fit", "fit_transform", and "transform". By calling the fit (fit_transform) function, the archetypes of the data set are extracted. In addition, a range of utility functions are provided to perform different visualisations. A tutorial Jupyter notebook demonstrates the functionalities that the package offers.

Available: 2019-07-25

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Subjects

Artificial Intelligence | Artificial Intelligence Not Elsewhere Classified | Information and Computing Sciences | archetype analysis | matrix factorization | unsupervised learning |

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Identifiers

DOI : 10.25919/5D3958889F7FF
Handle : 102.100.100/144141
URL : data.csiro.au/collection/csiro:40600

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