文件名称:Clustering_by_fast_search
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Alex Rodriguez 和 Alessandro Laio 在 Science 上发表了一篇名为《Clustering by fast search and find of density peaks》的文章,为聚类算法的设计提供了一种新的思路。虽然文章出来后遭到了众多读者的质疑,但整体而言,新聚类算法的基本思想很新颖,且简单明快,值得学习。这个新聚类算法的核心思想在于对聚类中心的刻画上,本文将对该算法的原理进行详细介绍,并对其中的若干细节展开讨论。-Alex Rodriguez and Alessandro Laio on Science published an article entitled Clustering by fast search and find of density peaks for clustering algorithm design provides a new way of thinking. After the article came out, although has been questioned many readers, but overall, the basic idea of the new clustering algorithm is very new, bright and simple, it is worth learning. The core idea is that the new clustering algorithm to cluster centers characterization, this article will be described in detail the principles of the algorithm, and one of the few details to discuss.
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下载文件列表
Clustering_by_fast_search/cluster_dp/cluster_dp.m
Clustering_by_fast_search/cluster_dp/example_distances.dat
Clustering_by_fast_search/cluster_dp.tgz
Clustering_by_fast_search/data_figure_2.zip
Clustering_by_fast_search/distances_olivetti.dat
Clustering_by_fast_search/参考文献.docx
Clustering_by_fast_search/cluster_dp
Clustering_by_fast_search
Clustering_by_fast_search/cluster_dp/example_distances.dat
Clustering_by_fast_search/cluster_dp.tgz
Clustering_by_fast_search/data_figure_2.zip
Clustering_by_fast_search/distances_olivetti.dat
Clustering_by_fast_search/参考文献.docx
Clustering_by_fast_search/cluster_dp
Clustering_by_fast_search
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