最近在学习论文的时候发现了在science上发表的关于新型的基于密度的聚类算法 Kmean算法有很多不足的地方,比如k值的确定,初始结点选择,而且还不能检测费球面类别的数据分布,对于第二个问题,提出了Kmean++,而其他不足还没有解决,dbscan虽然可以对任意形状分布的进行聚类,但是必须指定一个密度阈值,从而去除低于此密度阈值...
Her research interests include data clustering, big data analysis, and machine learning. Parham Moradi received his Ph.D degree in computer science from Amirkabir University of Technology in March 2011. Moreover, he has been received his M.Sc. degree in computer science from Amirkabir University ...
The density peak clustering algorithm treats local density peaks as cluster centers, and groups non-center data points by assuming that one data point and its nearest higher-density neighbor are in the same cluster. While this algorithm is shown to be promising in some applications, its clustering...
Density peak clusteringK-nearest neighborsLocal densityMicro clusterAllocation strategyRodriguez et al. published an algorithm called clustering by fast search and find of density peaks (DPC) in Science in June 2014. It can quickly search the density peaks and cluster the datasets efficiently. However...
一种新型聚类算法(Clustering by fast search and find of density peaksd),程序员大本营,技术文章内容聚合第一站。
一种新型聚类算法(Clustering by fast search and find of density peaksd) 转自http://blog.csdn.net/lvxiong1990/article/details/40540065 参考文献 Rodriguez, Alex, and Alessandro Laio. "Clustering by fast search and find of density peaks." Science 344.6191 (2014): 1492-1496. ...
Abstract Introduction Related works Anomaly detection module and dataset The DPC-GS-MND clustering algorithm Evaluation Conclusion and future work References Acknowledgements Funding Author information Ethics declarations Additional information Rights and permissions About this article AdvertisementScientific...
Some particular shaped datasets, such as manifold datasets, have restrictions on density peak clustering (DPC) performance. The main reason of variations in sample densities between clusters of data and uneven densities is not taken into consideration by the DPC algorithm, which could result in the...
Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014. - GitHub - sunssh/DensityPeakCluster: Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.
Clustering analysis is one of the major topics in unsupervised machine learning. A recent study proposes a novel density-based clustering algorithm called the Density Peaks. It is based on two intuitive assumptions: that cluster centers have a higher density than those of their neighbors, and that...