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This paper presents algorithms for hierarchical, agglomerative clustering which perform most efficiently in the general-purpose setup that is given in modern standard software.
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William H. E. Day and Herbert Edelsbrunner · 1984
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Fionn Murtagh · 1984
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Multidimensional clustering algorithms , volume 4 of Compstat Lectures
Fionn Murtagh · 1985
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Eric Jones, Travis Oliphant, Pearu Peterson, et al · 2001
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Wolfram Research, Inc · 2010
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Cluster Analysis
Brian S. Everitt, Sabine Landau, Morven Leese, and Daniel Stahl · 2011
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fastcluster: Fast hierarchical, agglomerative clustering routines for R and Python
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Finding groups in data: An introduction to cluster analysis
Leonard Kaufman and Peter J. Rousseeuw · 1990
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Connected admissible hierarchical clustering
Mirko Křivánek · 1990
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Data structures
Kurt Mehlhorn and Athanasios Tsakalidis · 1990
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Complexity theory: an introduction for practitioners of classification
William H. E. Day · 1996
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Available at http://numpy.scipy.org/
NumPy: Scientific computing tools for Python
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Daniel Müllner · 2011
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R: A Language and Environment for Statistical Computing
R Development Core Team · 2011
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MATLAB, 2011
The MathWorks, Inc · 2011
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