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R packages for clustering analysis. Use for k-means, hierarchical clustering, and other clustering methods.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
R language data analysis and visualization skill. Use when user asks to (1) run R scripts or code, (2) install/update R packages, (3) perform data analysis with R, (4) create visualizations with ggplot2/plotly, (5) statistical analysis, (6) data manipulation with tidyverse/dplyr/data.table. Triggers on keywords like "R语言", "R脚本", "ggplot", "tidyverse", "数据分析", "可视化".
R DALEX package for model explanations. Use for explaining complex machine learning models.
R iml package for interpretable ML. Use for model-agnostic interpretability methods.
R lime package for local explanations. Use for explaining individual predictions with local interpretable models.
R packages for ML interpretability. Use for explaining and interpreting machine learning models.
R vip package for variable importance. Use for computing and visualizing variable importance scores.
| name | r-ml-clustering |
| description | R packages for clustering analysis. Use for k-means, hierarchical clustering, and other clustering methods. |
Unsupervised learning for grouping data.
| Package | Purpose |
|---|---|
| cluster | Clustering algorithms |
| factoextra | Cluster visualization |
| mclust | Model-based clustering |
| dbscan | Density-based clustering |
