Fuzzy Clustering of High Dimensional Data with Noise and Outliers

Proceedings of the 8th International Joint Conference on Computational Intelligence ◽

The Effect of Noise and Outliers on Fuzzy Clustering of High Dimensional Data

10.5220/0006070601010108 ◽

2016 ◽

Author(s):

Ludmila Himmelspach ◽

Stefan Conrad

Keyword(s):

Fuzzy Clustering ◽

High Dimensional Data ◽

Evaluating the numerical instability in fuzzy clustering validation of high-dimensional data

Theoretical Computer Science ◽

10.1016/j.tcs.2019.10.039 ◽

2020 ◽

Vol 805 ◽

pp. 19-36

Author(s):

Fernanda Eustáquio ◽

Tatiane Nogueira

Keyword(s):

Fuzzy Clustering ◽

High Dimensional Data ◽

High Dimensional ◽

Numerical Instability ◽

Clustering Validation

Fuzzy Clustering High-Dimensional Data Using Information Weighting

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20912-4_36 ◽

2019 ◽

pp. 385-395 ◽

Author(s):

Yevgeniy V. Bodyanskiy ◽

Oleksii K. Tyshchenko ◽

Sergii V. Mashtalir

Keyword(s):

Fuzzy Clustering ◽

High Dimensional Data ◽

Large Sample Covariance Matrices and High-Dimensional Data Analysis

10.1017/cbo9781107588080 ◽

2015 ◽

Cited By ~ 26

Author(s):

Jianfeng Yao ◽

Shurong Zheng ◽

Zhidong Bai

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

Covariance Matrices ◽

High Dimensional ◽

Large Sample ◽

Sample Covariance Matrices ◽

Sample Covariance ◽

High Dimensional Data Analysis

Fractal-Based Methods as a Technique for Estimating the Intrinsic Dimensionality of High-Dimensional Data: A Survey

Informatica ◽

10.15388/informatica.2016.84 ◽

2016 ◽

Vol 27 (2) ◽

pp. 257-281 ◽

Cited By ~ 5

Author(s):

Rasa Karbauskaitė ◽

Gintautas Dzemyda

Keyword(s):

High Dimensional Data ◽

High Dimensional ◽

Intrinsic Dimensionality

A Fast Clustering Algorithm for Large-scale and High Dimensional Data

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2009.00859 ◽

2009 ◽

Vol 35 (7) ◽

pp. 859-866

Author(s):

Ming LIU ◽

Xiao-Long WANG ◽

Yuan-Chao LIU

Keyword(s):

Large Scale ◽

Clustering Algorithm ◽

High Dimensional Data ◽

Improved negative selection algorithm for network anomaly detection on high-dimensional data

Journal of Computer Applications ◽

10.3724/sp.j.1087.2009.00805 ◽

2009 ◽

Vol 29 (3) ◽

pp. 805-807 ◽

Author(s):

Wen-zhong GUO ◽

Guo-long CHEN ◽

Qing-liang CHEN

Keyword(s):

Anomaly Detection ◽

Negative Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Selection Algorithm ◽

Negative Selection Algorithm ◽

Network Anomaly Detection

An Advanced Mining Services in Predicting and Ranking User Vitality across Dynamic and High Dimensional Data Sets

SSRN Electronic Journal ◽

10.2139/ssrn.3395242 ◽

2019 ◽

Author(s):

Ch. Durga Bhavani ◽

Dr. A. Daveedu Raju ◽

Dr. V. Surya Narayana

Keyword(s):

High Dimensional Data ◽

High Dimensional ◽

Data Sets

Outlier Detection in High Dimensional Data Based on the Anti-Hub and Regression Technique

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2017.8219 ◽

2017 ◽

Vol V (VIII) ◽

pp. 1543-1551

Author(s):

Golla Hemalatha

Keyword(s):

Outlier Detection ◽

High Dimensional Data ◽

Regression Technique ◽

Approximate Cluster Heat Maps of Large High-Dimensional Data

2018 24th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr.2018.8545519 ◽

2018 ◽

Author(s):

Punit Rathore ◽

James C. Bezdek ◽

Dheeraj Kumar ◽

Sutharshan Rajasegarar ◽

Marimuthu Palaniswami

Keyword(s):

High Dimensional Data ◽

High Dimensional ◽

Heat Maps