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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/variants.md | |
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diff --git a/SI/Resource/Fundamentals of Data Mining/Content/variants.md b/SI/Resource/Fundamentals of Data Mining/Content/variants.md new file mode 100644 index 0000000..767e696 --- /dev/null +++ b/SI/Resource/Fundamentals of Data Mining/Content/variants.md @@ -0,0 +1,16 @@ +--- +id: variants +aliases: + - Variations of _K-Means_ +tags: [] +--- + +# Variations of _K-Means_ + +- There are many variants of the _K-Means_ method, varying in different aspects + - Choosing better initial centroid estimates + - _[[K-means++]]_, _Intelligent K-Means_, _Genetic K-Means_ + - Choosing different representative prototypes for the clusters + - _[[K-Medoids]]_, _[[K-Medians]]_, _[[K-Modes]]_ + - Applying feature transformation techniques + - _Weighted K-Means_, _[[Kernel K-Means]]_ |