Finally, the mean and standard deviation for dimensions of arousal and familiarity were calculated and the percentage of people who rated each word as a personality and/or physical attribute was determined.
In Table 2 the mean scores, and the corresponding standard deviations, of the dimensions of the KTQ and the SF-36 questionnaires are presented for the different stages of evolution.
In this study, various statistical characteristics of images, viz., mean of fractal dimension, standard deviation of fractal dimension, lacunarity, mean of ripplet coefficient, standard deviation of ripplet coefficient, mean of autocorrelation coefficient, and standard deviation of autocorrelation coefficient, are used for feature extraction of each image in eight databases.
For the Twist data set, the maximum standard deviation of two dimensions is 0.3281, and T is set as T = 200.
In this paper, for the Double-moon data set, the maximum standard deviation of two dimensions is 8.6448, so a small T should be provided and T is set as T = 1.
Table 2 Median and standard deviation of geometric dimensions for 100 samples Floor area (m2) Shear wall length Ashear wall/Afloora X(m) Y(m) X Y Median 146 8.70 6.40 1.63 1.20 SD 33.05 1.80 1.18 0.4 0.28 aArea of cross section for shear walls in plan to floor area multiple to 100%.
The mean and standard deviations of the particle dimensions measured were represented with at least six data entry points per group.
The means and standard deviations of the five dimensions of IPFAM, the physiotherapists' assessment and WeeFIM are shown in Table 2. To enable comparisons, we standardized the scores by dividing each subscale score by the number of items used to produce it (Table 3).
Thus, the choice of T should be inversely proportional to the standard deviation of each dimension, that is, ( Tpropto raisebox{1ex}{$1$} left/ !raisebox{-1ex}{$underset{i=1,2dots t}{ max}left{{alpha}_iright}$}right. ), where α i is the standard deviation of ith dimension and t is the sample dimension.
For the Twist 1 sample set, the standard deviation of each dimension is relatively small and the sensitivity of classifying accuracy on T is reduced; however, when the T is selected as 200, the maximum classification accuracy is achieved.
The width parameter is set as σ = 1. Figure 10a shows that when the samples are not normalized, for the Twist 2 sample set, the standard deviation of each dimension is relatively large; with the increase of T, the classification performance is reduced.
