[1] BHUYAN M H, BHATTACHARYYA D K, KALITA J K. Network anomaly detection: Methods, systems and tools[J]. IEEE Communications Surveys & Tutorials, 2014,16(1):303-336.
[2] WU J S, ZHENG W S, LAI J H. Approximate kernel competitive learning[J]. Neural Networks, 2015,63:117-132.
[3] 姜洪权,王岗,高建民,等. 一种适用于高维非线性特征数据的聚类算法及应用[J]. 西安交通大学学报, 2017,51(12):49-55.
[4] 刘晨赫,刘小晴,刘青,等. 针对高维数据的动态网格子空间聚类算法HDGCLUS[J]. 小型微型计算机系统, 2018,39(9):1895-1899.
[5] SHAO J M, WANG X Z, YANG Q L, et al. Synchronization-based scalable subspace clustering of high-dimensional data[J]. Knowledge and Information Systems, 2016,52(1):83-111.
[6] CUNNINGHAM J P, YU B M. Dimensionality reduction for large-scale neural recordings[J]. Nature Neuroscience, 2014,17(11):1500-1509.
[7] CUI Y, ZHENG C H, YANG J. Dimensionality reduction for microarray data using local mean based discriminant analysis[C]// Proceedings of the 9th International Conference on Intelligent Computing Theories and Technology. 2013:267-276.
[8] SAHOO D, PETERCA M, AQAD E, et al. Losing supramolecular orientational memory via self-organization of a misfolded secondary structure[J]. Polymer Chemistry, 2018,9(18):2370-2381.
[9] LEVERS C, MLLER D, ERB K, et al. Archetypical patterns and trajectories of land systems in Europe[J]. Regional Environmental Change, 2015,18(3):715-732.
[10]LI C, FARKHOOR H, LIU R, et al. Measuring the Intrinsic Dimension of Objective Landscapes[EB/OL]. [2019-04-01]. https://arxiv.org/abs/1804.08838. 〖HJ1mm〗
[11]ANDERSON C B, NICK H. Biodiversity monitoring, earth observations and the ecology of scale[J]. Ecology Letters, 2018,21:1572-1585.
[12]向柳明,周渭博,钟勇. 基于高斯过程的CLIQUE改进算法[J]. 计算机应用, 2015(S2):85-87.
[13]LIU S S, BREMER P T, THIAGARAJAN J J, et al. The grassmannian atlas: A general framework for exploring linear projections of high-dimensional data[J]. Computer Graphics Forum, 2016,35(3):1-10.
[14]杨维永,何军,郑生军,等. 一种适宜于子空间聚类的离群点检测算法[J]. 计算机与现代化, 2015(12):39-42.
[15]琚书存,程文杰,徐建鹏,等. 基于密度峰和划分的快速聚类算法[J]. 计算机与现代化, 2018(8):16-20.
[16]FARMANI F, PARVIZIMOSAED M, Monsef H, et al. A conceptual model of a smart energy management system for a residential building equipped with CCHP system[J]. International Journal of Electrical Power & Energy Systems, 2018,95:523-536.
[17]徐聪,黄文准,黄世奇. 基于自组织映射的遗传聚类算法[J]. 计算机与现代化, 2017(4):38-43.
[18]IRFAN S, DWIVEDI G, GHOSH S. Optimization of K-means clustering using genetic algorithm[C]// 2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN). 2017.
[19]SHUKRI S, FARIS H, ALJARAH I, et al. Evolutionary static and dynamic clustering algorithms based on multi-verse optimizer[J]. Engineering Applications of Artificial Intelligence, 2018,72:54-66.
[20]XU X P, LI J, ZHOU M C, et al. Accelerated two-stage particle swarm optimization for clustering not-well-separated data[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018,48:1-2.
[21]张新有,曾华燊,贾磊. 入侵检测数据集KDD CUP 99研究[J]. 计算机工程与设计, 2010,31(22):4809-4812.
[22]RUAN Z H, MIAO Y T, LEI P, et al. Visualization for big data security: A case study on KDD Cup 99 data set[J]. Digital Communications and Networks, 2017,3(4):250-259.
[23]刘春. 基于组合算法选择特征的网络入侵检测模型[J]. 计算机与现代化, 2014(8):75-80.
[24]陈路莹. 高维数据的聚类分析方法研究及其应用[D]. 厦门:厦门大学, 2009. |