Clustering by Similarity
Updated 2026-08-22
INTRODUCTION
English translation pending.
CORE DEFINITION
A classical Chinese formulation from the Great Commentary on the I Ching, meaning that things of like kind draw together and divide into groups. It names both a descriptive regularity, that similarity drives association, and a social mechanism, that shared attributes generate selective contact and reinforcement. The qualification is that observed clustering can result from preference, from structural barriers, or from both, and the pattern alone does not identify the cause. Its analytical use is rapid category recognition.
SCAFFOLDING EFFECT
Reduce cognitive load
- Category read: infer group boundaries from who and what already cluster together. - Matching move: place a new item where its similar counterparts are already gathered. - Echo check: ask whether your information circle is homogeneous and quietly self-reinforcing rather than genuinely diverse.
Anchor fast decisions
Similarity lowers the cost of interaction and raises its reward, so like-minded or like-resourced agents self-select into contact, and repeated contact amplifies shared views while reducing exposure to contrary ones. The result is a reinforcing loop that increases apparent homogeneity over time, independently of any initial preference.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E5%91%A8%E6%98%93verified
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