Sentence examples for transformed attributes from inspiring English sources

To eliminate the skewness involved in multi-attribute processes, Niaki and Abbasi (2007) first proposed the root transformation method, in which the skewness of the transformed attributes becomes almost zero.

This statistic follows an asymptotic chi-square distribution with 2 degrees of freedom and is used to test the null hypothesis that the transformed attributes are from normal distributions.

Moreover, to make sure the transformation works well, the Jarque and Bera (1987) test statistic given in Equation 1 is used to test the normality of the transformed attributes: JB = M b 1 2 / 6 + b 2 2 / 24, Open image in new window (1).

We use this control chart to monitor transformed attribute vector with approximately multivariate normal distribution.

In this transformation, using the bisection method, a power within (0,1) is found for each attribute in the vector X = [X1, X2, …, X q ]' to transform it into a new attribute vector Y = X r = X 1 r 1, X 2 r 2, …, X q r q ' Open image in new window such that the transformed attribute vector contains attributes of almost zero skewness.

It transforms attribute values into a common preference scale such as [0, 1] so that comparisons between different attributes becomes possible.

It has three arguments: the hierarchy name, its list of levels, and its list of attributes hierarchy hcras1,[reg, model, brand, all],[reg, power, model, brand, all]) Attribute Each attribute is transformed into attribute predicate.

Then, WEKA package automatically transformed nominal attributes into binary ones if classifier cannot handle the nominal attributes.

These dimensions are transformed into attributes.

Although we can transform quantitative attributes into boolean attributes, this approach is not effective and is difficult to scale up for high-dimensional cases and also may result in many imprecise association rules.

Since the attributes HPV-16, HPV-18, HPV-31, HPV-33, HPV-45, HPV-51, HPV-53, and HPV-58 correspond to high-risk subtypes of the HPV DNA test, we properly transformed the attribute HR-HPV DNA so as to correspond to the existence of the rest high-risk subtypes only.