JOURNAL ARTICLE

Data Mining Methods: K-Means Clustering Algorithms

Mohammad AnnasSiti Norida Wahab

Year: 2023 Journal:   International Journal of Cyber and IT Service Management Vol: 3 (1)Pages: 40-47

Abstract

A data warehouse is a straightforward definition of a database. Data mining technology can be used to process mountains of data in databases to uncover new, fascinating, and useful information.Clustering is an approach to data gathering. As one technique for grouping data into clusters or groups, the K-Means Clustering Algorithm algorithm divides the data into those that share the cluster's traits and those that don't. data into groups, and data into groups, so that data into groups, and data into groups, so that data has the same traits is grouped in the same cluster. Other clusters are formed from data and clusters with distinct properties. additional categories. The knowledge/information gathered in the groups or clusters is helpful to policy consumers in the decision-making process.mact of making decisions.

Keywords:
Cluster analysis Data mining Computer science Data warehouse Cluster (spacecraft) Process (computing) Artificial intelligence

Metrics

18
Cited By
11.13
FWCI (Field Weighted Citation Impact)
18
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Mining and Machine Learning Applications
Physical Sciences →  Computer Science →  Information Systems

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