Run Particle Clustering¶

After feature analysis, particles are ordered and summed according to their relative similarity (proximity in reduced multidimensional image point space). Traditional methods include k-means and hierarchical ascendant classification (Frank et. al Journal of Microscopy v150,99-115 (1988)).

Particle Clustering Procedures¶

1. Hierarchical or K-means Clustering

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