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Found 2 papers, 1 papers with code
A numerical measure of the instability of Mapper-type algorithms
We define an intrinsic notion of Mapper instability that measures the variability of the output as a function of the choice of parameters required to construct a Mapper output.
A self-organising eigenspace map for time series clustering
This paper presents a novel time series clustering method, the self-organising eigenspace map (SOEM), based on a generalisation of the well-known self-organising feature map (SOFM).
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