Nội dung text 04. Advantages and Disadvantages.pdf
pacmann.io © 2022 – Pacmann AI 23 Advantages & Disadvantages
pacmann.io © 2022 – Pacmann AI 24 Advantages ● No need to know the number of clusters in the data. ● Can find arbitrarily shaped clusters. ● Has a notion of noise. ● Requires just two parameters.
pacmann.io © 2022 – Pacmann AI 25 Disadvantages ● Do not work well on high-dimensional data (curse of dimensionality) ● DBSCAN does not respond well to data sets with varying densities K-means clustering DBSCAN clustering
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