k-means clustering
Vector quantization algorithm that minimizes the sum of squared deviations between points and their nearest mean
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k-means clustering
Summary
k-means clustering is a data clustering algorithm[1]. It ranks in the top 5% of data_clustering_algorithm entities by monthly Wikipedia readership (3,351 views/month).[2]
Key Facts
- k-means clustering's instance of is recorded as data clustering algorithm[3].
- k-means clustering's instance of is recorded as cluster analysis[4].
- k-means clustering is used for unsupervised learning[5].
- k-means clustering's Commons category is recorded as K-means algorithm[6].
- k-means clustering's Stack Exchange tag is recorded as https://stackoverflow.com/tags/k-means[7].
- k-means clustering's derivative work is recorded as K-means++[8].
Body
Designation and Status
Recorded instance of include data clustering algorithm[3] and cluster analysis[4].
Why It Matters
k-means clustering ranks in the top 5% of data_clustering_algorithm entities by monthly Wikipedia readership (3,351 views/month).[2] It has Wikipedia articles in 22 language editions, a strong signal of global cultural recognition.[9] It is known by 22 alternative names across languages and contexts.[10]