《科学》2014论文 Clustering by fast search and find of density peaks

参考文献:“clustering by fast search and find of density peaks”

Efficient parallel implementation of a density peaks clustering algorithm on graphics processing uni

Density Peaks Clustering-based Steady/Transition Mode Identication and Monitoring of Multimode Proce

基于密度峰值的最近邻入侵检测方法，张浩，李丽香，入侵检测系统是网络安全的重要组成部分。然而，传统的入侵检测系统无法识别新型网络入侵,例如零日攻击。许多机器学习方法被用在��

一种基于重新构造支持向量的密度聚类剪枝稀疏算法，司刚全，石建全，最小二乘支持向量机是通过解线性方程组代替二次凸优化问题实现非线性函数估计，在降低复杂度的同时，会得到一个非稀疏的解。因此

FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUsChangkyu Kim†, Jatin Chhugani†,

Professional Microsoft Search FAST Search SharePoint

Fast Subspace Clustering via Sparse Representations 利用系数表示做快速子空间聚类论文 优于SSC

FastAgglomerativeClusteringforRendering.ppt

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