From: Airline new customer tier level forecasting for real-time resource allocation of a miles program
k | Example of K-means output (categorical) | Label of the new binary features | Binary value |
---|---|---|---|
2 | “B” | Cluster_k2_A | 0 |
Cluster_k2_B | 1 | ||
3 | “A” | Cluster_k3_A | 1 |
Cluster_k3_B | 0 | ||
Cluster_k3_C | 0 | ||
5 | “C” | Cluster_k5_A | 0 |
Cluster_k5_B | 0 | ||
Cluster_k5_C | 1 | ||
Cluster_k5_D | 0 | ||
Cluster_k5_E | 0 | ||
7 | “C” | Cluster_k7_A | 0 |
Cluster_k7_B | 0 | ||
Cluster_k7_C | 1 | ||
Cluster_k7_D | 0 | ||
Cluster_k7_E | 0 | ||
Cluster_k7_F | 0 | ||
Cluster_k7_G | 0 | ||
10 | “A” | Cluster_k10_A | 1 |
… | … | ||
Cluster_k10_K | 0 | ||
20 | “A” | Cluster_k20_A | 1 |
… | … | ||
Cluster_k20_T | 0 |