Nearest neighbor (NN) is the sample in the training dataset that has the shortest distance to the sample of interest. Synthetic data needs to be as close as possible to the original data but not too close. To explore the closeness, for each synthetic data sample, the nearest neighbor sample in the original data can be found and the distribution of those distances can be used for testing the privacy of the generated synthetic data.
We use third-party web analytics tools to analyze website usage and measure the success of advertising campaigns. Cookies are set in the process and data is partly transferred to the USA. Further details can be found in our privacy policy. You can revoke or adjust your selection at any time under Settings.
Here you will find an overview of all cookies used. You can give your consent to whole categories or display further information and select certain cookies.