An Outlier Detection Approach Based on Improved Self-Organizing Feature Map Clustering Algorithm

IEEE Access ◽

10.1109/access.2019.2922004 ◽

2019 ◽

Vol 7 ◽

pp. 115914-115925 ◽

Author(s):

Ping Yang ◽

Dan Wang ◽

Zhuojun Wei ◽

Xiaolin Du ◽

Tong Li

Keyword(s):

Outlier Detection ◽

Clustering Algorithm ◽

Feature Map ◽

Detection Approach ◽

Self Organizing

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Document Clustering Algorithm Based on Tree-Structured Growing Self-Organizing Feature Map

Advances in Neural Networks – ISNN 2004 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-28647-9_138 ◽

2004 ◽

pp. 840-845 ◽

Author(s):

Xiaoshen Zheng ◽

Wenling Liu ◽

Pilian He ◽

Weidi Dai

Keyword(s):

Clustering Algorithm ◽

Document Clustering ◽

Feature Map ◽

Self Organizing

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Self organizing feature map and radial basis function based voltage stability state classification of power system

European Journal of Electrical Engineering ◽

10.3166/ejee.16.7-25 ◽

2013 ◽

Vol 16 (1) ◽

pp. 7-25 ◽

Author(s):

Kabir Chakraborty ◽

Abhinandan De ◽

Abhijit Chakrabarti

Keyword(s):

Power System ◽

Radial Basis Function ◽

Basis Function ◽

Voltage Stability ◽

Feature Map ◽

State Classification ◽

Radial Basis ◽

Self Organizing

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Sensed Outlier Detection for Water Monitoring Data and a Comparative Analysis of Quantization Error Using Kohonen Self-Organizing Maps

2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS) ◽

10.1109/ctems.2018.8769276 ◽

2018 ◽

Author(s):

E. M. Dogo ◽

N. I. Nwulu ◽

B. Twala ◽

C.O. Aigbavboa

Keyword(s):

Comparative Analysis ◽

Outlier Detection ◽

Quantization Error ◽

Water Monitoring ◽

Monitoring Data ◽

Self Organizing Maps ◽

Self Organizing

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An Outlier Detection Approach Based on WGAN-Empowered Deep Autoencoder

2019 IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC) ◽

10.1109/iceiec.2019.8784627 ◽

2019 ◽

Author(s):

Yunxin Huang ◽

Hongzuo Xu ◽

Xiaodong Wang ◽

Zhiyue Wu

Keyword(s):

Outlier Detection ◽

Detection Approach

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Shape Morphing and Reconstruction Using A Self-Organizing Feature Map

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.247397 ◽

2006 ◽

Author(s):

P.C. Igwe ◽

A.P. Sangole ◽

G.K. Knopf

Keyword(s):

Feature Map ◽

Shape Morphing ◽

Self Organizing

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Cloud Classification Based on Self-Organizing Feature Map and Probabilistic Neural Network

2006 6th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2006.1712358 ◽

2006 ◽

Author(s):

Ren Zhang ◽

Yanlei Wang ◽

Wei Liu ◽

Weijun Zhu ◽

Jiguang Wang

Keyword(s):

Neural Network ◽

Probabilistic Neural Network ◽

Feature Map ◽

Cloud Classification ◽

Self Organizing

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An energy-aware self-organizing clustering algorithm for UWB wireless sensor networks

2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications ◽

10.1109/pimrc.2008.4699828 ◽

2008 ◽

Author(s):

Georgios Koltsidas ◽

Eirini Karapistoli ◽

Fotini-Niovi Pavlidou

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Clustering Algorithm ◽

Wireless Sensor ◽

Energy Aware ◽

Self Organizing

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The Rapid Kernel Classifier: A Link between the Self-Organizing Feature Map and the Radial Basis Function Network

Journal of Intelligent Material Systems and Structures ◽

10.1177/1045389x9400500207 ◽

1994 ◽

Vol 5 (2) ◽

pp. 211-219 ◽

Author(s):

Joydeep Ghosh ◽

Srinivasa V. Chakravarthy

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

The Self ◽

Feature Map ◽

Radial Basis ◽

Function Network ◽

Self Organizing

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Outlier Detection Method based on Improved K-means Clustering Algorithm

10.1145/3501409.3501648 ◽

2021 ◽

Author(s):

Wenfen Liu ◽

Nan Wang ◽

Yuehua Huang

Keyword(s):

Outlier Detection ◽

Clustering Algorithm ◽

Detection Method

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Two-Step Anomaly Detection Approach Using Clustering Algorithm

International Conference on Advanced Computing Networking and Informatics - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-13-2673-8_54 ◽

2018 ◽

pp. 513-520 ◽

Author(s):

Praphula Kumar Jain ◽

Rajendra Pamula

Keyword(s):

Anomaly Detection ◽

Clustering Algorithm ◽

Detection Approach

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