Hamming Diversification Index: A New Clustering-Based Metric to Understand and Visualize Time Evolution of Patterns in Multi-Dimensional Datasets
One of the most challenging problems in data analysis is visualizing patterns and extracting insights from multi-dimensional datasets that vary over time. The complexity of data and variations in the correlations between different features adds further difficulty to the analysis. In this paper, we p...
Saved in:
| Main Authors: | Sarthak Pattnaik, Eugene Pinsky |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/14/7760 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Machine Learning-Based Approach to Analyze and Visualize Time-Series Sentencing Data
by: Eugene Pinsky, et al.
Published: (2024-07-01) -
HammingVis: A visual analytics approach for understanding erroneous outcomes of quantum computing in hamming space
by: Jieyi Chen, et al.
Published: (2024-12-01) -
Dry-Cured Ham, ‘<i>Kraški Pršut</i>’, from Heavy Pig Production—A Pilot Study Focusing on the Effect of Ham Weight and Salting
by: Bojana Savić, et al.
Published: (2024-11-01) -
STT-HDC: An Efficient Time-Domain In-Memory Hyper-Dimensional Computing Design Based on STT-MRAM
by: Thi-Nhan Pham, et al.
Published: (2025-01-01) -
Solving class of mixed nonlinear multi-term fractional Volterra-Fredholm integro-differential equations by new development of HAM
by: Zainidin Eshkuvatov, et al.
Published: (2025-01-01)