PCA vs Factor Analysis: Middle Earth Case Study
David McCabe
“factor analysis is k-means clustering applied to correlations or some shit” - d.mccabe
| Race | Tier 1 (Infant) | Tier 2 (Child) | Tier 3 (Adolescent) | Tier 4 (Young Adult) | Tier 5 (Middle Age) | Tier 6 (Mature) | Tier 7 (Elder) | Tier 8 (Ancient) |
|---|---|---|---|---|---|---|---|---|
| Elf | 0-20 | 20-50 | 50-100 | 100-300 | 300-1000 | 1000-2000 | 2000-5000 | 5000+ |
| Dwarf | 0-5 | 5-20 | 20-40 | 40-100 | 100-180 | 180-250 | 250-350 | - |
| Human | 0-3 | 3-12 | 12-20 | 20-40 | 40-60 | 60-80 | 80-120 | - |
| Hobbit | 0-5 | 5-15 | 15-33 | 33-50 | 50-80 | 80-110 | 110-130 | - |
library(lattice)
splom(dt[,.(Age, Height,Weight)], pscales = 0, main = "Scatter Plot Matrix")