Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …

A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and
biological processes of reproduction of the fittest individual. GA is one of the most popular …

This paper introduces an innovative automatic K-means clustering algorithm, namely HGA-
FACO, which seamlessly integrates the noise algorithm, Genetic Algorithm (GA), Ant Colony …

Manufacturing and service organisations improve their processes on a continuous basis to
have better operational performance. They use lean six sigma (LSS) projects for process …

Mixed data comprises both numeric and categorical features, and mixed datasets occur
frequently in many domains, such as health, finance, and marketing. Clustering is often …

Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …

Clustering is one of the data mining methods that partition large-sized data into subgroups
according to their similarities. K-means clustering algorithm works well in spherical or …

K-means clustering algorithm is a partitional clustering algorithm that has been used widely
in many applications for traditional clustering due to its simplicity and low computational …

In the past few decades, a detailed and extensive research has been carried out on K-
Means combine with genetic algorithm for clustering of using this combine technique; to …

Clustering is a commonly used method for exploring and analysing data where the primary
objective is to categorise observations into similar clusters. In recent decades, several …