Hierarchical Clustering
Data Science · Further Education · Machine Learning Algorithms
This unit introduces hierarchical clustering, an unsupervised learning technique for creating a hierarchy of clusters based on the similarity of data points. Students will learn the concepts, algorithms, and applications of hierarchical clustering in data science.
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Das gehört dazu
- Concepts of hierarchical clustering
- Agglomerative clustering algorithms (e.g.
- single-linkage
- complete-linkage
- average-linkage)
- Divisive clustering algorithms
- Dendrograms and their interpretation
- Evaluation of hierarchical clustering results
- Applications of hierarchical clustering in data science
- Comparison of hierarchical clustering with other clustering techniques
Stichworte
- Hierarchical Clustering
- Unsupervised Learning
- Dendrogram
- Agglomerative Clustering
- Divisive Clustering
- Cluster Analysis
- Data Science
- Machine Learning