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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... moreithm, referred to as iterative label spreading (ILS), can recognize the characteristics expected of a successful clustering result before any clustering algorithm has been applied, providing a type of hyper-parameter optimization for clustering. In this notebook the algorithm, is assessed using large benchmark two-dimensional synthetic data sets, with tutorial examples. less
Artificial Intelligence and Image Processing not elsewhere classified
01 Jan 2019
CSIRO Open Source Software Licence (Based on MIT/BSD Open Source Licence)
Barnard, Amanda; Parker, Amanda (2019): Iterative Label Spreading. v1. CSIRO. Software Collection.
All Rights (including copyright) CSIRO 2019.
The metadata and files (if any) are available to the public.
Jupyter, or similar editor for iPython notebooks.
Windows, Mac, Linux
Machine Learning Group Operating Cost
Hunt&Gather active learning guided sampling software and development.
Applied Machine Learning
Iterative Label Spreading code and tutorial notebook.