An Automated Spectral Clustering for Multi-scale Data

6 Feb 2019 Milad Afzalan Farrokh Jazizadeh

Spectral clustering algorithms typically require a priori selection of input parameters such as the number of clusters, a scaling parameter for the affinity measure, or ranges of these values for parameter tuning. Despite efforts for automating the process of spectral clustering, the task of grouping data in multi-scale and higher dimensional spaces is yet to be explored... (read more)

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