A Comprehensive Review on Analysing of Brain Signals Using Different Clustering Methods-Reference-Cited by-同舟云学术

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A Comprehensive Review on Analysing of Brain Signals Using Different Clustering Methods

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Naveen P¹,Akilan T²,Manikandan P³,Pushpavanam B.⁴,Swedheetha C⁵,James Deva Koresh H⁶

Affiliation:

1. KPR Institute of Engineering and Technology,Department of EEE,Coimbatore,INDIA

2. Amity University,Department of CSE,Kolkata,INDIA

3. Kalalsalingam Academy of Research and Education,Department of ECE,Krishnankoil,INDIA

4. PSNA College of Engineering and Technology,Department of EEE,Dindugal,INDIA

5. Velammal College of Engineering and Technology,Department of CSE,Madurai

6. KPR Institute of Engineering and Technology,Department of ECE,Coimbatore,INDIA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275782/10275807/10275953.pdf?arnumber=10275953

Reference19 articles.

1. Path-scan: A novel clustering algorithm based on core points and connexity

2. A maritime traffic route extraction method based on density-based spatial clustering of applications with noise for multi-dimensional data

3. A Dirichlet process mixture model for brain MRI tissue classification

4. Effective Epileptic Seizure Detection by Classifying Focal and Non-focal EEG Signals using Human Learning Optimization-based Hidden Markov Model

5. Self-supervised spectral clustering with exemplar constraints

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