MuDi-Stream: A multi density clustering algorithm for evolving data stream
暂无分享,去创建一个
Ying Wah Teh | Tutut Herawan | Amineh Amini | Hadi Saboohi | T. Herawan | H. Saboohi | Teh Ying Wah | A. Amini | Hadi Saboohi
[1] Jason J. Jung. Semantic preprocessing for mining sensor streams from heterogeneous environments , 2011, Expert Syst. Appl..
[2] Ying Wah Teh,et al. On Density-Based Data Streams Clustering Algorithms: A Survey , 2014, Journal of Computer Science and Technology.
[3] Li Tu,et al. Density-based clustering for real-time stream data , 2007, KDD '07.
[4] Alfredo Ferro,et al. Enhancing density-based clustering: Parameter reduction and outlier detection , 2013, Inf. Syst..
[5] Vipin Kumar,et al. Chameleon: Hierarchical Clustering Using Dynamic Modeling , 1999, Computer.
[6] Ying Wah Teh,et al. A study of density-grid based clustering algorithms on data streams , 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).
[7] Martin Ester,et al. Density‐based clustering , 2019, WIREs Data Mining Knowl. Discov..
[8] Ling Chen,et al. A clustering algorithm for multiple data streams based on spectral component similarity , 2012, Inf. Sci..
[9] Petra Perner,et al. Data Mining - Concepts and Techniques , 2002, Künstliche Intell..
[10] Sushmita Mitra,et al. KDDClus : A Simple Method for Multi-Density Clustering , 2011 .
[11] Hans-Peter Kriegel,et al. Density-based Projected Clustering over High Dimensional Data Streams , 2012, SDM.
[12] Joydeep Ghosh,et al. Data Clustering Algorithms And Applications , 2013 .
[13] Li Tu,et al. Stream data clustering based on grid density and attraction , 2009, TKDD.
[14] Thomas Seidl,et al. An effective evaluation measure for clustering on evolving data streams , 2011, KDD.
[15] Martin Ester,et al. Density-based Clustering , 2018, Encyclopedia of Database Systems.
[16] Xunfei Jiang,et al. YJNCA 1747 To appear in : Journal of Network and Computer Applications , 2018 .
[17] Edward R. Dougherty,et al. Model-based evaluation of clustering validation measures , 2007, Pattern Recognit..
[18] Teh Ying Wah,et al. Density Micro-Clustering Algorithms on Data Streams: A Review , 2011 .
[19] Anthony K. H. Tung,et al. Ranking Outliers Using Symmetric Neighborhood Relationship , 2006, PAKDD.
[20] GiugnoRosalba,et al. Enhancing density-based clustering , 2013 .
[21] William M. Rand,et al. Objective Criteria for the Evaluation of Clustering Methods , 1971 .
[22] Xiaoyun Chen,et al. An Improved Semi-Supervised Clustering Algorithm for Multi-Density Datasets with Fewer Constraints , 2012 .
[23] Philip S. Yu,et al. Density-based clustering of data streams at multiple resolutions , 2009, TKDD.
[24] Mohsen Sayyadi,et al. GDCLU: A New Grid-Density Based ClustrIng Algorithm , 2012, 2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.
[25] Daniel A. Keim,et al. An Efficient Approach to Clustering in Large Multimedia Databases with Noise , 1998, KDD.
[26] Amin Namadchian,et al. DSCLU: A New Data Stream Clustring Algorithm for Multi Density Environments , 2012, 2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.
[27] Philip S. Yu,et al. A Framework for Clustering Evolving Data Streams , 2003, VLDB.
[28] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[29] Chen Xiaoyun,et al. GMDBSCAN: Multi-Density DBSCAN Cluster Based on Grid , 2008, ICEBE.
[30] Yunming Ye,et al. On cluster tree for nested and multi-density data clustering , 2010, Pattern Recognit..
[31] Jian Pei,et al. Data Mining: Concepts and Techniques, 3rd edition , 2006 .
[32] Aoying Zhou,et al. Density-Based Clustering over an Evolving Data Stream with Noise , 2006, SDM.
[33] C. Mallows,et al. A Method for Comparing Two Hierarchical Clusterings , 1983 .
[34] Mohamed Medhat Gaber,et al. Density-Based Projected Clustering of Data Streams , 2012, SUM.
[35] Thanapat Kangkachit,et al. HUE-Stream: Evolution-Based Clustering Technique for Heterogeneous Data Streams with Uncertainty , 2011, ADMA.
[36] Kai Li,et al. Semi-Supervised Clustering Algorithm for Multi-Density and Complex Shape Dataset , 2008, 2008 Chinese Conference on Pattern Recognition.
[37] P. Jaccard,et al. Etude comparative de la distribution florale dans une portion des Alpes et des Jura , 1901 .
[38] Hassan Abolhassani,et al. MSDBSCAN: Multi-density Scale-Independent Clustering Algorithm Based on DBSCAN , 2010, ADMA.
[39] Alexander Dekhtyar,et al. Information Retrieval , 2018, Lecture Notes in Computer Science.
[40] Teh Ying Wah,et al. A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream , 2014, TheScientificWorldJournal.
[41] Joydeep Ghosh,et al. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..
[42] M. Cugmas,et al. On comparing partitions , 2015 .
[43] Camille Roth,et al. Natural Scales in Geographical Patterns , 2017, Scientific Reports.
[44] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[45] Hans-Peter Kriegel,et al. OPTICS: ordering points to identify the clustering structure , 1999, SIGMOD '99.
[46] Giandomenico Spezzano,et al. A single pass algorithm for clustering evolving data streams based on swarm intelligence , 2011, Data Mining and Knowledge Discovery.
[47] Kai Li,et al. Reckon the Parameter of DBSCAN for Multi-density Data Sets with Constraints , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.
[48] Sharma Chakravarthy,et al. Clustering data streams using grid-based synopsis , 2013, Knowledge and Information Systems.
[49] Ying Wah Teh,et al. A Multi Density-Based Clustering Algorithm for Data Stream with Noise , 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.