![Mathematics / Statistics / Applied mathematics / Data mining / Search algorithms / Approximation algorithms / Discrete geometry / Nearest neighbor search / Numerical analysis / Hierarchical clustering / Cluster analysis / K-means clustering Mathematics / Statistics / Applied mathematics / Data mining / Search algorithms / Approximation algorithms / Discrete geometry / Nearest neighbor search / Numerical analysis / Hierarchical clustering / Cluster analysis / K-means clustering](https://www.pdfsearch.io/img/dbd8b6f587eb2d2f26490518cad8d1d2.jpg) Date: 2014-11-28 11:05:21Mathematics Statistics Applied mathematics Data mining Search algorithms Approximation algorithms Discrete geometry Nearest neighbor search Numerical analysis Hierarchical clustering Cluster analysis K-means clustering | | Fast Hierarchical Clustering and Other Applications of Dynamic Closest Pairs David Eppstein∗ Abstract dynamic closest pair problem. It can be solved by brute force 2 We develop data structures for dynamic closest pair Add to Reading ListSource URL: bioinfo.ict.ac.cnDownload Document from Source Website File Size: 318,74 KBShare Document on Facebook
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