Advances in Data Clustering

Edited by Fadi Dornaika (), Denis Hamad (), Joseph Constantin () and Vinh Truong Hoang ()

in Springer Books from Springer

Date: 2024
ISBN: 978-981-97-7679-5
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Chapters in this book:

Ch Chapter 1 Classification of Gougerot-Sjögren Syndrome Based on Artificial Intelligence

A. Olivier, A. Mansour, C. Hoffmann, L. Bressollette, S. Jousse-Joulin and B. Clement

Ch Chapter 10 Graph-Based Semi-supervised Learning for Multi-view Data Analysis

Najmeh Ziraki, Fadi Dornaika, Alireza Bosaghzadeh and Nagore Barrena

Ch Chapter 11 Advancements in Fuzzy Clustering Algorithms for Image Processing: A Comprehensive Review and Future Directions

Vatsala Anand, Deepika Koundal, Thongchai Surinwarangkoon and Kittikhun Meethongjan

Ch Chapter 2 Deep Learning Classification of Venous Thromboembolism Based on Ultrasound Imaging

A. Olivier, A. Mansour, C. Hoffmann, L. Bressollette and B. Clement

Ch Chapter 3 Synchronization-Driven Community Detection: Dynamic Frequency Tuning Approach

Abdelmalik Moujahid and Alejandro Cervantes Rovira

Ch Chapter 4 Automatic Evolutionary Clustering for Human Activity Discovery

Daphne Teck Ching Lai and Parham Hadikhani

Ch Chapter 5 Identification of Correlated Factors for Absenteeism of Employees Using Clustering Techniques

Divyajyoti Panda, Debjani Panda and Satya Ranjan Dash

Ch Chapter 6 Multi-view Data Clustering Through Consensus Graph and Data Representation Learning

Fadi Dornaika and Sally El Hajjar

Ch Chapter 7 Uber’s Contribution to Faster Deep Learning: A Case Study in Distributed Model Training

Hamid Mahmoodabadi

Ch Chapter 8 Auto-weighted Multi-view Clustering with Unified Binary Representation and Deep Initialization

Khamis Houfar, Fadi Dornaika, Djamel Samai, Azeddine Benlamoudi, Khaled Bensid and Abdelmalik Taleb-Ahmed

Ch Chapter 9 Clustering with Adaptive Unsupervised Graph Convolution Network

Maria Al Jreidy, Joseph Constantin, Fadi Dornaika, Denis Hamad and Vinh Truong Hoang

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DOI: 10.1007/978-981-97-7679-5

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