2020
DOI: 10.18178/ijfcc.2020.9.2.563
|View full text |Cite
|
Sign up to set email alerts
|

Grid-Based Spatial Index Method for Location-Based Nearest Neighbour Search

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 4 publications
0
2
0
Order By: Relevance
“…For each simulation of a 90 days period, we computed the changes in the number and distribution of cancer cells. We characterized the spatial cell distribution using the uniformity index (UI) [44][45][46]. High UI indicates a homogeneous distribution all over the simulation field, whereas low UI is an indication for cluster formation.…”
Section: The Effect Of Cell Speed and Persistence On Tumor Progressionmentioning
confidence: 99%
“…For each simulation of a 90 days period, we computed the changes in the number and distribution of cancer cells. We characterized the spatial cell distribution using the uniformity index (UI) [44][45][46]. High UI indicates a homogeneous distribution all over the simulation field, whereas low UI is an indication for cluster formation.…”
Section: The Effect Of Cell Speed and Persistence On Tumor Progressionmentioning
confidence: 99%
“…For each simulation of a 90 days period, we computed the changes in the number and distribution of cancer cells. We characterized the spatial cell distribution using the uniformity index (UI) (41)(42)(43). High UI indicates a homogeneous distribution all over the simulation field, whereas low UI is an indication for cluster formation.…”
Section: The Effect Of Cell Speed and Persistence On Tumor Progressionmentioning
confidence: 99%