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The proposed algorithms efficiently use the missing value in order to distinguish among taxonomy trees that have the same matching value, but, have different missing values.
The proposed algorithms efficiently use the missing value in similarity computation in order to distinguish among taxonomy trees that have the same matching value but with different miss trees at different positions.
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The generalized formula uses the missing value always less than or equal to matching value such that it gives a resultant similarity which is less than or equal to the matching value between two taxonomy trees.
In questionnaires with less than 20% missing values, the method of 'case mean substitution' was used to replace the missing value.
If a value was missing for certain items, the mean value of the other health service items was used to replace the missing value.
We will also test different coefficients that are used to impute the missing value; if both SE and 95% CI are available to calculate SD, we will test which is better.
If the mother's information was also missing, we then categorized the sample into four groups according to whether the respondents had urban hukou at age 7 or younger and whether the respondent's father was a member of Chinese Communist Party, and substituted the missing value using the mean ISEI score of the fathers in the four population categories.
It is possible to address some problems using classic methods, such as replacing the missing value with zero or with the mean value.
This method is based on the EM algorithm, where the likelihood function used for imputing the missing values can include a number of covariates.
The missing value is calculated using a simplicity function which returns a value between 0 and 1 depending on the structure of a missing tree and associated arc weights.
This method works in similar fashion as linear interpolation in a way that the missing value is interpolated by using its most two neighbours except it works for sequentially missed values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com