Enhancement of parallel K-means algorithm for clustering big datasets
Big Data encompasses huge amounts of complex data which is generated in different areas such as business, marketing, educational systems, IoT, and healthcare. For instance, in the healthcare domain, huge amounts of data are generated daily from different sources such as health monitoring and medical...
Saved in:
Main Author: | Ashabi, Ardavan |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/102827/1/ArdavanAshabiPRAZAK2022.pdf.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Privacy preserving data mining using anonymization and K-means clustering on labor dataset
by: Ahmad Zahari, Samahah Solehah
Published: (2019) -
Optimized clustering with modified K-means algorithm
by: Alibuhtto, Mohamed Cassim
Published: (2021) -
Improved k-means clustering using principal component analysis and imputation methods for breast cancer dataset
by: Armina, Roslan
Published: (2018) -
Hybrid optimization for k-means clustering learning enhancement
by: Farhang, Yousef
Published: (2016) -
Statistical data preprocessing methods in distance functions to enhance k-means clustering algorithm
by: Dalatu, Paul Inuwa
Published: (2018)