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t‑Closeness
Anonymization
Keeping each group’s sensitive data similar to the overall dataset.
Definition
t‑closeness is a rule that says the sensitive data in each group should look similar to the overall dataset.
In plain English
Keeping each group’s sensitive data similar to the overall dataset.
Why this matters
Why it matters: It reduces the chance that a group reveals too much about someone.
Example
Example: A group’s income distribution should not be very different from the whole dataset.