A Multi-View Fuzzy Clustering Framework for Semantic-Rich Text Data Using SBERT and Ensemble Learning
The increasing volume of text data across diverse fields presents substantial challenges for effective clustering and analysis. Traditional methods often struggle to capture the nuanced semantic relationships and high dimensionality of textual data, particularly in noisy or heterogeneous datasets. T...
Saved in:
Main Authors: | Mangsor Nik Siti Madihah Nik, Nasir Syerina Azlin Md, Abdul-Rahman Shuzlina, Mohemad Rosmayati |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2025-01-01
|
Series: | Applied Computer Systems |
Subjects: | |
Online Access: | https://doi.org/10.2478/acss-2025-0011 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fine-Hybrid: Integration of BM25 And Finetuned SBERT to Enhance Search Relevance
by: Wan Ahmad Gazali Kodri, et al.
Published: (2025-07-01) -
Perbandingan Metode Ensemble Learning pada Klasifikasi Penyakit Diabetes
by: Linggar Maretva Cendani, et al.
Published: (2022-05-01) -
Photovoltaic Array Fault Detection Using Ensemble Learning-Based Technique
by: Anshul Shekhar, et al.
Published: (2025-07-01) -
Enhancing diabetes risk prediction: A comparative evaluation of bagging, boosting, and ensemble classifiers with SMOTE oversampling
by: Rabia Asif, et al.
Published: (2025-01-01) -
Embedding Social Perception Dimensions in a Semantic Space: Toward a Quantitative Synthesis
by: Xuanlong Qin, et al.
Published: (2025-06-01)