How can 'outliers' impact the result of K-means clustering?
- Outliers can distort the shape and size of the clusters
- Outliers can lead to fewer clusters
- Outliers can lead to more clusters
- Outliers don't impact K-means clustering
Outliers can have a significant impact on the result of K-means clustering. They can distort the shape and size of the clusters, as they may pull the centroid towards them, creating less accurate and meaningful clusters.
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