Cluster Analysis to optimize your maps
Hierarchical Agglomerative Clustering
Taking the community world map as a example
- HAC is a machine learning algorithm
- The algorithm recursively merges the pair of clusters that minimally increases the linkage distance
- The linkage distance is the average euclidean distance of the airport radian coordinates
- More information about HAC on Wikipedia
Airports of the cluster center in the example
- Rzeszow Jasionka Airport, Poland
- Cork Airport, Ireland
- Halifax Stanfield International, Canada
- Queen Beatrix International, Aruba
- Kuwait International, Kuwait
- Labuan Bajo Komodo Airport, Indonesia
World Map with all flights
Rzeszów Cluster
Avg Distance: 1350 KM
Cork Cluster
Avg Distance: 1142 KM
Halifax Cluster
Avg Distance: 1596 KM
Oranjestad Cluster
Avg Distance: 1778 KM
Kuwait Cluster
Avg Distance: 1697 KM
Labuan Bajo Cluster
Avg Distance: 1553 KM
Long Haul Flights above 9000 KM
North Atlantic Ocean
Gulf Super Connectors
Within the 48 Contiguous States
Within Europe
