Modified Gaussian Models and Fuzzy C-Means

Computational Pulse Signal Analysis ◽

10.1007/978-981-10-4044-3_12 ◽

2018 ◽

pp. 231-246

Author(s):

David Zhang ◽

Wangmeng Zuo ◽

Peng Wang

Keyword(s):

Gaussian Models ◽

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Wrist pulse signal diagnosis using modified Gaussian models and Fuzzy C-Means classification

Medical Engineering & Physics ◽

10.1016/j.medengphy.2009.08.008 ◽

2009 ◽

Vol 31 (10) ◽

pp. 1283-1289 ◽

Author(s):

Yinghui Chen ◽

Lei Zhang ◽

David Zhang ◽

Dongyu Zhang

Keyword(s):

Pulse Signal ◽

Gaussian Models ◽

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195. Evaluation of Point and Line Versions of Gaussian Models for an Outdoor Dustproducing Industrial Process

10.3320/1.2758550 ◽

2005 ◽

Author(s):

J. Park ◽

J. Rock

Keyword(s):

Industrial Process ◽

Gaussian Models

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Prediction of the Number of Airport Passengers Using Fuzzy C-Means and Adaptive Neuro Fuzzy Inference System

International Review of Automatic Control (IREACO) ◽

10.15866/ireaco.v10i3.12003 ◽

2017 ◽

Vol 10 (3) ◽

pp. 280

Author(s):

Sunarsan Sitohang ◽

Abba Suganda Girsang ◽

Suharjito Suharjito

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Fuzzy C Means ◽

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Binary Division Fuzzy C-Means Clustering and Particle Swarm Optimization Based Efficient Intrusion Detection for E-Governance Systems

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i8.9546 ◽

2016 ◽

Vol 11 (8) ◽

pp. 672 ◽

Author(s):

Rajan Gupta ◽

Sunil K. Muttoo ◽

Saibal K. Pal

Keyword(s):

Particle Swarm Optimization ◽

Intrusion Detection ◽

Particle Swarm ◽

Swarm Optimization ◽

Fuzzy C Means ◽

Governance Systems ◽

Fuzzy C Means Clustering ◽

Binary Division

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Modification of Fuzzy c-Means Method Using a Nonlinear Vector Criterion

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v42.i12.20 ◽

2010 ◽

Vol 42 (12) ◽

pp. 13-21

Author(s):

Anatoliy F. Bulat ◽

Elena M. Kiseleva ◽

Sergey A. Pichugov ◽

Oleg B. Blyuss

Keyword(s):

Vector Criterion ◽

Fuzzy C Means ◽

Nonlinear Vector

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Fuzzy c-means Clustering Algorithm for Brain Tumor Segmentation

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i6/0198 ◽

2017 ◽

Vol 7 (6) ◽

pp. 668-670

Author(s):

A. Florence ◽

◽

J. G. R Sathiaseelan ◽

Keyword(s):

Brain Tumor ◽

Clustering Algorithm ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

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The fall point identification of cluster warhead based on fuzzy C-Means clustering method

Advanced Control, Automation and Robotics ◽

10.2495/acar140451 ◽

2015 ◽

Author(s):

G.L. Wang ◽

S.Q. Dong ◽

X.L. Shen ◽

J.R. Lu

Keyword(s):

Clustering Method ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

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Invasive weed optimization and Kernel Fuzzy C-Means Based MRI brain tissue segmentation

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i11.4350 ◽

2018 ◽

Vol 6 (11) ◽

pp. 43-50

Author(s):

K. Venkatesh Sharma

Keyword(s):

Brain Tissue ◽

Invasive Weed Optimization ◽

Tissue Segmentation ◽

Invasive Weed ◽

Fuzzy C Means ◽

Mri Brain ◽

Brain Tissue Segmentation

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A Hierarchical Spatial Fuzzy C Means Algorithm for Mammographic Mass Segmentation

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i1.8488 ◽

2019 ◽

Vol 7 (1) ◽

pp. 84-88

Author(s):

Manasi Hazarika ◽

Lipi B. Mahanta

Keyword(s):

Fuzzy C Means ◽

Mass Segmentation ◽

Fuzzy C Means Algorithm

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K-modes and Fuzzy C-means with modified Particle Swam Optimization Clustering Algorithm for Epilepsy Seizure Data

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i1.7377 ◽

2019 ◽

Vol 7 (1) ◽

pp. 73-77

Author(s):

C.V. Banupriya ◽

D. Deviaruna

Keyword(s):

Clustering Algorithm ◽

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