FOSC-X uses bounded dynamic programming to compute top-M optimal non-horizontal cuts from clustering hierarchies in linear time, with or without cluster-count constraints.
Comprehensive Survey on Hierarchical Clustering Algorithms and the Recent Developments
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AVVA is a new framework adapting verbal analysis for classroom discourse with triangulation across ten steps and a four-criterion validation scheme for temporal stability, applied to 23 hours of recordings.
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FOSC-X: An Extended Framework for Optimal Local Cuts and Non-Horizontal Cluster Selection from Clustering Hierarchies
FOSC-X uses bounded dynamic programming to compute top-M optimal non-horizontal cuts from clustering hierarchies in linear time, with or without cluster-count constraints.