Jun 7, 2024 · We give an efficient algorithm for Centroid-Linkage Hierarchical Agglomerative Clustering (HAC), which computes a c-approximate clustering in ...
Nov 5, 2024 · The authors give an algorithm that approximates a centroid linkage clustering. Their algorithm is fast both in theory and in practice. The ...
We give an algorithm for Centroid-Linkage Hierarchical Agglomerative Clustering (HAC), which computes a c-approximate clustering in roughly n1+O(1/c2) time.
Jun 7, 2024 · Specifically, running HAC with any popular linkage function requires essentially quadratic time under standard complexity-theory assumptions.
Abstract: We give an efficient algorithm for Centroid-Linkage Hierarchical Agglomerative Clustering (HAC), which computes a $c$-approximate clustering in ...
(PDF) Efficient Centroid-Linkage Clustering - ResearchGate
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Jun 7, 2024 · It is up to 8.3x faster than SCC, the state-of-the-art distributed algorithm for hierarchical clustering, while achieving 1.16x higher quality.
Jul 22, 2024 · Centroid-based clustering algorithms are efficient but sensitive to initial conditions and outliers. Of these, k-means is the most widely ...
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Hierarchical clustering is a clustering analysis technique that places data points into hierarchical groups, or hierarchical clusters, based on similarities.
In Centroid Linkage Clustering, a vector is assigned to each pseudo-item, and this vector is used to compute the distances between this pseudo-item and all ...
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In statistics, single-linkage clustering is one of several methods of hierarchical clustering. It is based on grouping clusters in bottom-up fashion.
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