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Iterative Label Spreading

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About this Collection

Iterative Label Spreading


Based on a general definition of a cluster and the quality of a clustering result, this code presents a new method for evaluating existing clustering algorithms, or undertaking clustering, capable of predicting the number and type of clusters and outliers present in a data set, regardless of the complexity of the distribution of points. This algor... more


Artificial Intelligence and Image Processing not elsewhere classified


https://doi.org/10.25919/5d806280b91a9


01 Jan 2019


Amanda Parker
Amanda.Parker@data61.csiro.au

machine learning clustering classification materials informatics


ILS_notebook.pdf


Amanda Parker


CSIRO Open Source Software Licence (Based on MIT/BSD Open Source Licence)


CSIRO (Australia)


Barnard, Amanda; Parker, Amanda (2019): Iterative Label Spreading. v1. CSIRO. Software Collection. https://doi.org/10.25919/5d806280b91a9


All Rights (including copyright) CSIRO 2019.


The metadata and files (if any) are available to the public.

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More about this Collection

Jupyter, or similar editor for iPython notebooks.


Python


Windows, Mac, Linux


1


About this Project

Machine Learning Group Operating Cost


Hunt&Gather active learning guided sampling software and development.


Amanda Barnard


Applied Machine Learning


Iterative Label Spreading code and tutorial notebook.


Analysis


Amanda Barnard


Amanda Parker