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HTDet: A Clustering Method Using Information Entropy for Hardware Trojan Detection 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2021, 卷号: 26, 期号: 1, 页码: 48-61
作者:  Lu, Renjie;  Shen, Haihua;  Feng, Zhihua;  Li, Huawei;  Zhao, Wei;  Li, Xiaowei
收藏  |  浏览/下载:44/0  |  提交时间:2021/12/01
Hardware Trojan (HT) detection  information entropy  Density-Based Spatial Clustering of Applications with Noise (DBSCAN)  unsupervised learning  clustering  mutual information  test patterns generation  
Grid-based DBSCAN: Indexing and inference 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 90, 页码: 271-284
作者:  Boonchoo, Thapana;  Ao, Xiang;  Liu, Yang;  Zhao, Weizhong;  Zhuang, Fuzhen;  He, Qing
收藏  |  浏览/下载:213/0  |  提交时间:2019/08/16
Density-based clustering  Grid-based DBSCAN  Union-find algorithm  
RECOME: A new density-based clustering algorithm using relative KNN kernel density 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 436, 页码: 13-30
作者:  Geng, Yangli-ao;  Li, Qingyong;  Zheng, Rong;  Zhuang, Fuzhen;  He, Ruisi;  Xiong, Naixue
收藏  |  浏览/下载:59/0  |  提交时间:2019/12/10
Density-based clustering  Density estimation  K nearest neighbors  Graph theory  
Fast density clustering strategies based on the k-means algorithm 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 71, 页码: 375-386
作者:  Bai, Liang;  Cheng, Xueqi;  Liang, Jiye;  Shen, Huawei;  Guo, Yike
收藏  |  浏览/下载:80/0  |  提交时间:2019/12/12
Cluster analysis  Density-based clustering  Acceleration mechanism  Approximate algorithm  k-means  
A local-density based spatial clustering algorithm with noise 期刊论文
INFORMATION SYSTEMS, 2007, 卷号: 32, 期号: 7, 页码: 978-986
作者:  Duan, Lian;  Xu, Lida;  Guo, Feng;  Lee, Jun;  Yan, Baopin
收藏  |  浏览/下载:45/0  |  提交时间:2019/12/16
data mining  local outlier factor  local reachability density  local-density-based clustering