Advances in Data Clustering Theory and Applications /
Clustering, a foundational technique in data analytics, finds diverse applications across scientific, technical, and business domains. Within the theme of “Data Clustering,” this book assumes substantial importance due to its indispensable clustering role in various contexts. As the era of online me...
I tiakina i:
| Kaituhi rangatōpū: | |
|---|---|
| Ētahi atu kaituhi: | , , , |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
|
| Putanga: | 1st ed. 2024. |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-981-97-7679-5 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- Chapter 1 Classification of Gougerot-Sjögren syndrome Based on Artificial Intelligence
- Chapter 2 Deep learning Classification of Venous Thromboembolism based on Ultrasound imaging
- Chapter 3 Synchronization-Driven Community Detection: Dynamic Frequency Tuning Approach
- Chapter 4 Automatic Evolutionary Clustering for Human Activity Discovery
- Chapter 5 Identification of Correlated factors for Absenteeism of employees using Clustering techniques
- Chapter 6 Multi-view Data Clustering through Consensus Graph and Data Representation Learning
- Chapter 7 Uber’s Contribution to Faster Deep Learning: A Case Study in Distributed Model Training
- Chapter 8 Auto-Weighted Multi-View Clustering with Unified Binary Representation and Deep Initialization
- Chapter 9 Clustering with Adaptive Unsupervised Graph Convolution Network
- Chapter 10 Graph-based Semi-supervised Learning for Multi-view Data Analysis
- Chapter 11 Advancements in Fuzzy Clustering Algorithms for Im-age Processing: A Comprehensive Review and Future Directions
- Chapter 12 Multiview Latent representation learning with feature diversity for clustering.