Table 1 shows a breakdown of the results by source including, for each source of data, number of citations identified, number included, number included unique to each source, sensitivity and precision.
Figure 7 shows the comparison of transmitted data numbers of both data aggregation schemes when the number of predicted values is set to 150.
Numbers of data records and numbers of angiosperm lists of ecoregions are listed in Table 1.
Our simulation study was conducted with varying numbers of nodes, numbers of data traffic sources, and NSs.
It uses critical values that are only available for the upper tail of the variance distribution, at selected numbers of data sets, selected numbers of replicates per set and only at two significance levels.
The numbers of data points are equal to the number of parameters.
A fuzzification method is developed to fuzzify the crisp numbers of data sets into trapezoidal fuzzy numbers.
In addition, the datasets, which produce higher rates of classification accuracy using the distance-based features, have smaller numbers of data samples, smaller numbers of classes, and lower dimensionalities.
We examine the effect of different noise levels, σ, datasets with different numbers of data points and different numbers of replicates.
Numerical data will be summarised by means of standard statistics (i.e. number of available data, number of missing data, mean, standard deviation, minimum, median, maximum, lower and upper quartile).
Numerical data were summarized by means of standard statistics (i.e. number of available data, number of missing data, mean, standard deviation, minimum, median, maximum, lower and upper quartile).
