SVM-assisted Adaptive Kernel Power Density Clustering Algorithm for Millimeter Wave Channels

2022 ◽  
pp. 1-1
Author(s):  
Fei Du ◽  
Xiongwen Zhao ◽  
Yu Zhang ◽  
Yang Wen ◽  
Zihao Fu ◽  
...  
Keyword(s):  
Power Density ◽  
Millimeter Wave ◽  
Clustering Algorithm ◽  
Adaptive Kernel ◽  
Density Clustering

Multi-Radius Density Clustering Algorithm Based on Outlier Factor

2014 ◽  
Vol 472 ◽  
pp. 427-431
Author(s):  
Zong Lin Ye ◽  
Hui Cao ◽  
Li Xin Jia ◽  
Yan Bin Zhang ◽  
Gang Quan Si
Keyword(s):  
Clustering Algorithm ◽  
Spatial Clustering ◽  
Similar Process ◽  
The Core ◽  
Dbscan Algorithm ◽  
Proposed Model ◽  
Density Clustering ◽  
Relationship Of ◽  
Core Points ◽  
The Relationship

This paper proposes a novel multi-radius density clustering algorithm based on outlier factor. The algorithm first calculates the density-similar-neighbor-based outlier factor (DSNOF) for each point in the dataset according to the relationship of the density of the point and its neighbors, and then treats the point whose DSNOF is smaller than 1 as a core point. Second, the core points are used for clustering by the similar process of the density based spatial clustering application with noise (DBSCAN) to get some sub-clusters. Third, the proposed algorithm merges the obtained sub-clusters into some clusters. Finally, the points whose DSNOF are larger than 1 are assigned into these clusters. Experiments are performed on some real datasets of the UCI Machine Learning Repository and the experiments results verify that the effectiveness of the proposed model is higher than the DBSCAN algorithm and k-means algorithm and would not be affected by the parameter greatly.

A novel image segmentation method based on fast density clustering algorithm

2018 ◽  
Vol 73 ◽  
pp. 92-110 ◽  
Author(s):  
Jinyin Chen ◽  
Haibin Zheng ◽  
Xiang Lin ◽  
Yangyang Wu ◽  
Mengmeng Su
Keyword(s):  
Image Segmentation ◽  
Clustering Algorithm ◽  
Segmentation Method ◽  
Density Clustering

Millimeter wave power density in aqueous biological samples

2001 ◽  
Vol 22 (4) ◽  
pp. 288-291 ◽  
Author(s):  
S.I. Alekseev ◽  
M.C. Ziskin
Keyword(s):  
Power Density ◽  
Millimeter Wave ◽  
Biological Samples ◽  
Wave Power ◽  
Wave Power Density
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