Run Particle Clustering¶

After interimage variance analysis and data reduction procedures done via 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)).
h2. Particle Clustering Procedures

1. Hierarchical or K-means Clustering

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