Pasi Fränti
Biographic Data
| ID | 8802387 |
|---|---|
| NAME | Pasi Fränti |
| GIVEN NAMES | Pasi |
| FAMILY NAME | Fränti |
| SIGNATURE | FRÄNTI P |
| AFFILIATIONS | University of Eastern Finland |
| ORCID | 0000-0002-9554-2827 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Is Medoid Suitable for Averaging GPS Trajectories
Averaging GPS trajectories is needed in applications such as clustering and automatic extraction of road segments. Calculating mean for trajectories and other time series data is non-trivial and shown to be an NP-hard problem. medoid has therefore been widely used as a practical alternative and because of its (assumed) better noise tolerance. In this paper, we study the usefulness of the medoid to solve the averaging problem with ten different tr…
No prominent works on this page.
Is Medoid Suitable for Averaging GPS Trajectories
Averaging GPS trajectories is needed in applications such as clustering and automatic extraction of road segments. Calculating mean for trajectories and other time series data is non-trivial and shown to be an NP-hard problem. medoid has therefore been widely used as a practical alternative and because of its (assumed) better noise tolerance. In this paper, we study the usefulness of the medoid to solve the averaging problem with ten different tr…
Artificial Intelligence (1 work) · Automated Road and Building Extraction (1 work) · Cluster analysis (1 work) · Computer Science (1 work) · Data Management and Algorithms (1 work) · Data mining (1 work) · Global Positioning System (1 work) · Mathematics (1 work) · Medoid (1 work) · Remote Sensing and LiDAR Applications (1 work)