Clustering the Various Categorical Data: An Exploration of Algorithms and Performance Analysis-Reference-Cited by-同舟云学术

Clustering the Various Categorical Data: An Exploration of Algorithms and Performance Analysis

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference for Emerging Technology (INCET)
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Author:

Kumar Raman¹,Pati Peeta Basa¹,Deepa K.²,Yanan Suresh³

Affiliation:

1. Amrita School of Computing,Department of Computer Science and Engineering

2. Amrita School of Engineering, Amrita Vishwa Vidyapeetham,Department of Electrical and Electronics Engineering,Bengaluru,India

3. University of Technology and Applied Sciences-Al Musannah,Department of Engineering,Sultanate of Oman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169136/10169900/10170508.pdf?arnumber=10170508

Reference15 articles.

1. Intrusion Detection System Using Computationally Efficient SVM based on K-Prototype Clustering;reddy;Third Int Conf on Intelligent Computing Instrumentation and Control Technologies,2022

2. Attribute reduction based anomaly detection scheme by clustering dependent oversampling PCA

3. Computing Multiplicative Spanners Efficiently for a Class of Simple Graphs

4. Interactive Map Using Data Visualization and Machine Learning

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