kmeans
使用 K-Means 对业务对象进行聚类画像（clustering 客户分群）
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- Zafer-Liu/Data-Analysis-Agent
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- July 17, 2026 at 13:24
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- kmeans
- description
- 使用 K-Means 对业务对象进行聚类画像（clustering 客户分群）
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- ["get_schema","query_data","run_analysis","generate_chart"]
# K-Means 聚类
确认聚类实体与特征，处理缺失值并标准化数值变量。比较合理的 K 值，报告聚类质量、各簇规模、中心特征和业务画像，并说明异常点及稳定性限制。
## Tool routing
1. Use `get_schema` to identify the entity key, candidate numeric features, and source table.
2. Use `query_data` to verify feature availability, missingness, and scale before modeling.
3. Use `run_analysis` with `analysis_name="K_Means"` for the clustering computation.
4. Use `generate_chart` on cluster profiles, elbow output, or label result tables after `run_analysis` succeeds.
## Implementation reference
- Tool entry: `agent/tools/business/data.py::_tool_run_analysis`
- Analysis registry: `Function/Analyze/registry.py`
- Analysis implementation: `Function/Analyze/K-Means/analyze.py`
- Chart implementation: `Function/Charts_generation/chart_generate.py`
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