Table 3. Mean Differences of Adjusted Rand Indices Between PCAPP and Other Methods.
Comparison | Difference in Means | SD | Effect Sizes† |
---|---|---|---|
PCAPP vs. KM | (.51-.26)=.25** | .29 | 1.28 |
PCAPP vs. TA | (.51-.18)=.33** | .28 | 1.69 |
PCAPP vs. RKM | (.51-.31)=.20** | .30 | 0.95 |
PCAPP vs. FKM | (.51-.17)=.34** | .30 | 1.65 |
PCAPP vs. PPK | (.51-.06)=.45** | .22 | 3.09 |
Note. df = 431 for each t-test.
p ≤ .0001, two-tailed.
the effect size was computed assuming independent groups to protect against over-inflating the estimate as recommended by Dunlop, Cortina, Vaslow, and Burke (1996).
KM = K-means clustering; TA = Tandem Analysis; RKM = Reduced K-means; FKM = Factorial K-means; PPK = Projection Pursuit Kurtosis; PCAPP = Principal Cluster Axes Projection Pursuit.