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| author | TheSiahxyz <164138827+TheSiahxyz@users.noreply.github.com> | 2024-04-29 22:06:12 -0400 |
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| committer | TheSiahxyz <164138827+TheSiahxyz@users.noreply.github.com> | 2024-04-29 22:06:12 -0400 |
| commit | 4d53fa14ee0cd615444aca6f6ba176e0ccc1b5be (patch) | |
| tree | 4d9f0527d9e6db4f92736ead0aa9bb3f840a0f89 /SI/Resource/Fundamentals of Data Mining/Content/Density-based Clustering.md | |
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diff --git a/SI/Resource/Fundamentals of Data Mining/Content/Density-based Clustering.md b/SI/Resource/Fundamentals of Data Mining/Content/Density-based Clustering.md new file mode 100644 index 0000000..d5e11fe --- /dev/null +++ b/SI/Resource/Fundamentals of Data Mining/Content/Density-based Clustering.md @@ -0,0 +1,21 @@ +--- +id: Density-based Clustering +aliases: + - Density-Based Clustering Methods +tags: [] +--- + +## Density-Based Clustering Methods + +- Clustering based on density (a **local** cluster criterion), such as + density-connected points +- Major features: + - Discover clusters of **arbitrary** shape + - Handle noise + - One scan (only examine the local region to justify density) + - Need density parameters as termination condition +- Several interesting studies: + - <u>[[DBSCAN]]</u>: Ester, et al. + - <u>[[OPTICS]]</u>: Ankerst, et al. + - DENCLUE: Hinneburg & D. Keim + - CLIQUE: Agrawal, et al. |