What mathematical trait makes a character good for separating samples?

A character that is good for separating samples typically exhibits a high degree of variance or discriminative power across different groups or categories. This means the character's values or features should show clear distinctions between the samples being compared, allowing for effective classification. Additionally, robustness against noise and the ability to maintain distinctiveness under various conditions further enhance the character's utility in separation tasks.