12 citations · 38 across the 16 of their papers we have counts for
5 papers · 1 filter
Maximum Likelihood Estimation for Single Linkage Hierarchical Clustering
Dekang Zhu, Dan P. Guralnik, Xuezhi Wang +2
We derive a statistical model for estimation of a dendrogram from single linkage hierarchical clustering (SLHC) that takes account of uncertainty through noise or corruption in the…
Statistical Properties of the Single Linkage Hierarchical Clustering Estimator
Dekang Zhu, Dan P. Guralnik, Xuezhi Wang +2
Distance-based hierarchical clustering (HC) methods are widely used in unsupervised data analysis but few authors take account of uncertainty in the distance data. We incorporate a…
Coordinated Robot Navigation via Hierarchical Clustering
Omur Arslan, Dan P. Guralnik, Daniel E. Koditschek
We introduce the use of hierarchical clustering for relaxed, deterministic coordination and control of multiple robots. Traditionally an unsupervised learning method, hierarchical…
Universal Memory Architectures for Autonomous Machines
Dan P. Guralnik, Daniel E. Koditschek
We propose a self-organizing memory architecture for perceptual experience, capable of supporting autonomous learning and goal-directed problem solving in the absence of any prior…
Injective metrizability and the duality theory of cubings
Jared Culbertson, Dan P. Guralnik, Peter F. Stiller
Following his discovery that finite metric spaces have injective envelopes naturally admitting a polyhedral structure, Isbell, in his pioneering work on injective metric spaces, at…