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
- Rennes Saint-Jacques Airport, France
- Stockholm Arlanda Airport, Sweden
- Balikpapan Sepinggan Airport, Indonesia
- Halifax Stanfield International, Canada
- Queen Beatrix International, Aruba
- Ankara Esenboga International, Turkey
World Map with all flights
Rennes Cluster
Avg Distance: 1340 KM
Stockholm Cluster
Avg Distance: 985 KM
Balikpapan Cluster
Avg Distance: 1964 KM
Halifax Cluster
Avg Distance: 1572 KM
Oranjestad Cluster
Avg Distance: 1778 KM
Ankara Cluster
Avg Distance: 1311 KM
Long Haul Flights above 9000 KM
North Atlantic Ocean
Gulf Super Connectors
Within the 48 Contiguous States
Within Europe
