Hierarchical clustering methods in a task to find abnormal observations based on groups with broken symmetry
The work is aimed at solving the actual problem of identification and interpretation of anomalous observations in the study of socio-economic processes. The proposed method is based on the use of a cluster approach to detecting anomalous observations. Clustering is performed using hierarchical metho...
Saved in:
| Main Authors: | A. N. Kislyakov, S. V. Polyakov |
|---|---|
| Format: | article |
| Language: | EN RU |
| Published: |
North-West institute of management of the Russian Presidential Academy of National Economy and Public Administration
2020
|
| Subjects: | |
| Online Access: | https://doaj.org/article/c231fd1be269415e93b2ca53769f9a57 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Symmetry and Symmetry Breaking in Physics: From Geometry to Topology
by: Luciano Boi
Published: (2021) -
The Probability Flow in the Stock Market and Spontaneous Symmetry Breaking in Quantum Finance
by: Ivan Arraut, et al.
Published: (2021) - Symmetry
-
Clustering Vertex-Weighted Graphs by Spectral Methods
by: Juan-Luis García-Zapata, et al.
Published: (2021) -
Abnormal Detection of Cash-Out Groups in IoT Based Payment
by: Hao Zhou, et al.
Published: (2021)