The DBSCAN algorithm groups together points that are closely packed, forming clusters, and treats more isolated points as _________.
- Centroids
- Clusters
- Noise
- Outliers
In DBSCAN, more isolated points that don't belong to any cluster are treated as outliers.
Loading...
Related Quiz
- What is the primary purpose of using Logistic Regression?
- What are the strengths and weaknesses of using the Ward's method in Hierarchical Clustering?
- Which algorithm is based on the principle that similar data points are likely to have similar output values?
- A financial institution wants to reduce the false positives in its existing fraud detection system. How would Machine Learning help in this scenario?
- While AI aims to mimic human intelligence, Machine Learning focuses on learning from data, and Deep Learning emphasizes learning from data using __________.