Deep K-Means Algorithm Based Autoencoder for Outlier Detection-Reference-Cited by-同舟云学术

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Deep K-Means Algorithm Based Autoencoder for Outlier Detection

Published:2024-08-10 Issue: Volume:1 Page:322-327
ISSN:
Container-title:2024 IEEE 6th Symposium on Computers & Informatics (ISCI)
language:
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Author:

Thangarasu Gunasekar¹,Rao Alla Kesava²,Kannan K Nattar³

Affiliation:

1. IMU Univeristy,School of Business and Technology,Department of Digital Health and Health Informatics,Malaysia

2. MAHSA Univeristy,Chancellery,Saujana Putra,Selangor,Malaysia

3. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10666969/10667684/10667920.pdf?arnumber=10667920

Reference20 articles.

1. A study on using data clustering for feature extraction to improve the quality of classification

2. Clustering and classification methods for single-cell RNA-sequencing data

3. Big data clustering techniques based on Spark: a literature review

4. Multiple Kernel Subspace Learning for Clustering and Classification

5. Learning dynamic simultaneous clustering and classification via automatic differential evolution and firework algorithm

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