A Novel Hybrid Clustering Approach Based on Black Hole Algorithm for Document Clustering-Reference-Cited by-同舟云学术

A Novel Hybrid Clustering Approach Based on Black Hole Algorithm for Document Clustering

Published:2022 Issue: Volume:10 Page:97310-97326
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Malik Fazila¹,Khan Salabat¹,Rizwan Atif²,Atteia Ghada³,Samee Nagwan Abdel³

Affiliation:

1. Department of Computer Science, COMSATS University Islamaba, Attock Campus, Attock, Pakistan

2. Department of Computer Engineering, Jeju National University, Jeju-si, Republic of Korea

3. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09868019.pdf?arnumber=9868019

Reference45 articles.

1. Evaluating and Validating Cluster Results

2. Unsupervised clustering of structured and unstructured text collections;bungum,2021

3. Using word2 Vec to process big text data;ma;Proc IEEE Int Conf Big Data (Big Data),2015

4. Document clustering: TF-IDF approach

5. BHOHS: A Two Stage Novel Algorithm for Data Clustering

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative Analysis of Predictive Algorithms for Performance Measurement;IEEE Access;2024

2. A Comparative Study of Approaches to Short Text Document Clustering;Lecture Notes in Networks and Systems;2024