A Systematic review of K-means Algorithm Improvement Research for Data Clustering
Clustering as a process to understand the nature and structure of data plays an important role in organizing data in many areas of science and technology. One of the most widely used and simple algorithms for clustering is K-means. The present study was conducted to systematically reviewing research...
Main Authors: | Elham Yalveh, Yaghoub Norouzi, Ashkan Khatir |
---|---|
Format: | Article |
Language: | fas |
Published: |
Iranian Research Institute for Information and Technology
2021-12-01
|
Series: | Iranian Journal of Information Processing & Management |
Subjects: | |
Online Access: | http://jipm.irandoc.ac.ir/article-1-4646-en.html |
Similar Items
-
Optimizing the organization of Persian text documents using clustering technique
by: Elham Yalveh, et al.
Published: (2023-03-01) -
An adaptive K-Means Clustering Algorithm and its Application to Face Recognition
by: N. Rajeswari, et al.
Published: (2010-01-01) -
Cluster Analysis of Online Shop Product Reviews Using K-Means Clustering
by: Rena Nainggolan, et al.
Published: (2020-03-01) -
K-Means and Alternative Clustering Methods in Modern Power Systems
by: Seyed Mahdi Miraftabzadeh, et al.
Published: (2023-01-01) -
A DATA ANALYSIS OF THE IMPACT OF NATURAL DISASTER USING K-MEANS CLUSTERING ALGORITHM
by: Prihandoko Prihandoko, et al.
Published: (2016-12-01)