Clustering
Master of Science in Computer Science · University · Machine Learning
This unit introduces the fundamental concepts and algorithms of clustering, an unsupervised learning technique used to group similar data points together. Students will learn about K-means, hierarchical clustering, and density-based clustering, and apply these techniques to real-world datasets.
Zum Üben gibt es 53 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Clustering
- K-means Clustering
- Hierarchical Clustering
- Density-Based Clustering
- Evaluation of Clustering Algorithms
- Applications of Clustering in Data Mining
Stichworte
- Clustering
- K-means
- Unsupervised Learning
- Data Mining
- Machine Learning