An ensemble model approach for many-feature data clustering

An ensemble model approach for many-feature data clustering

The ensemble is a popular machine learning technique based on the principle of divide and conquer. In data clustering, the ensemble aims to improve performance in terms of processing speed and clustering quality. Most existing ensemble methods face inherent complex challenges such as uncertainty, am...

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Bibliographic Details
Main Authors: Lê, Thị Cẩm Bình, Ngô, Thành Long, Phạm, Văn Nha, Phạm, Thế Long
Format: Article
Language:English
Published: Bộ Thông tin và Truyền thông 2023
Subjects:
Clustering
Classification
Ensemble model
Feature reduction
Many-feature
Big-data
Tạp chí khoa học chuyên ngành
Online Access:https://dlic.huc.edu.vn/handle/HUC/3940
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