The border k-means clustering algorithm for one dimensional data

R Froese, JW Klassen, CK Leung… - … Conference on Big …, 2022 - ieeexplore.ieee.org
Clustering has been widely used for data pre-processing, mining, and analysis. The k-
means clustering algorithm is commonly used because of its simplicity and flexibility to work …

A data science and engineering solution for fast k-means clustering of big data

KE Dierckens, AB Harrison, CK Leung… - 2017 IEEE Trustcom …, 2017 - ieeexplore.ieee.org
With advances in technology, high volumes of a wide variety of valuable data of different
veracity can be easily collected or generated at a high velocity in the current era of big data …

Predictive analytics on genomic data with high-performance computing

CK Leung, OA Sarumi, CY Zhang - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Recent technological advancements and scientific discoveries have revolutionized the
current era of genomics. Next-generation sequencing (NGS) technologies have led to …

A machine learning tool for supporting advanced knowledge discovery from chess game data

JA Brown, A Cuzzocrea, M Kresta… - 2017 16th IEEE …, 2017 - ieeexplore.ieee.org
In the current era of big data, high volumes of a wide variety of data of different veracity can
be easily collected or generated at a high velocity. Embedded in these big data is valuable …

Mahalanobis distance based k-means clustering

PO Brown, MC Chiang, S Guo, Y Jin, CK Leung… - … Conference on Big Data …, 2022 - Springer
In the current era, big data are everywhere. With advances in technology, high volumes of a
wide variety of data are generated and collected in numerous real-life applications and …

Data and visual analytics for emerging databases

CK Leung - Proceedings of the 7th International Conference on …, 2018 - Springer
With advances in technology, high volumes of valuable data of different veracity can be
generated at a high velocity in wide varieties of data sources in various real-life applications …