A Unified Graph Theory Approach: Clustering and Learning in Criminal Data
Crime report clustering plays a critical role in modern law enforcement, enabling the identification of patterns and trends essential for proactive policing. However, traditional clustering approaches face significant challenges with the complex, unstructured nature of crime reports and their inhere...
Saved in:
| Main Authors: | Haifa Al-Ibrahim, Heba Kurdi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/12/23/3865 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unified representation aggregated from graph and global features for multi-source data clustering
by: Jiashou Wang, et al.
Published: (2024-12-01) -
GRAPHICAL PROPERTIES OF CLUSTERED GRAPHS
by: Sambanthan Gurunathan, et al.
Published: (2024-12-01) -
Learner preferences prediction with mixture embedding of knowledge and behavior graph
by: Xiaoguang LI, et al.
Published: (2021-08-01) -
An Efficient Vertex-Driven Temporal Graph Model and Subgraph Clustering Method
by: Hanlin Zhang, et al.
Published: (2022-01-01) -
Dual-channel attribute graph clustering beyond the homogeneity assumption
by: AN Junxiu, et al.
Published: (2025-01-01)