Elbow method

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Creator

Created

Created

2024 Jun 11 5:7

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Editor

Edited

Edited

2024 Oct 17 10:10

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Refs

Graphical method for finding the optimal K value

Find

k^*

such that

L(\mu, X)_{k^*}

is significantly low while

L(\mu, X)_{k^* +1}

is not a great improvement

notion image

Elbow method (clustering)

In cluster analysis, the elbow method is a heuristic used in determining the number of clusters in a data set. The method consists of plotting the explained variation as a function of the number of clusters and picking the elbow of the curve as the number of clusters to use. The same method can be used to choose the number of parameters in other data-driven models, such as the number of principal components to describe a data set.

Elbow method (clustering)

https://en.wikipedia.org/wiki/Elbow_method_(clustering)

Elbow method (clustering)

Backlinks

K-means Clustering

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