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Hierarchical clustering is a widely used approach for clustering datasets at multiple levels of granularity.
Numerical Taxonomy: The Principles and Practice of Numerical Classification
P.H.A. Sneath and R.R. Sokal · 1973
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Efficient algorithms for agglomerative hierarchical clustering methods
William H. E. Day and Herbert Edelsbrunner · 1984
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Finding Groups in Data: an introduction to cluster analysis
L. Kaufman and P.J. Rousseeuw · 1990
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Birch: An efficient data clustering method for very large databases
Tian Zhang, Raghu Ramakrishnan, and Miron Livny · 1996
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Data clustering: A review
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ODAC: hierarchical clustering of time series data streams
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Data Clustering: Algorithms and Applications
Charu C. Aggarwal and Chandan K. Reddy, editors · 2014
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Sparsehc: A memory-efficient online hierarchical clustering algorithm
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Sanjoy Dasgupta · 2016
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A hierarchical algorithm for extreme clustering
Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, and Andrew McCallum · 2017
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Approximation bounds for hierarchical clustering: Average linkage, bisecting k-means, and local search
Benjamin Moseley and Joshua Wang · 2017
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Adaptive hierarchical clustering using ordinal queries
Ehsan Emamjomeh-Zadeh and David Kempe · 2018
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Hierarchical clustering better than average-linkage
Moses Charikar, Vaggos Chatziafratis, and Rad Niazadeh · 2019
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Edo Liberty, Ram Sriharsha, and Maxim Sviridenko · 2014
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