K-means clustering - significado y definición. Qué es K-means clustering
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Qué (quién) es K-means clustering - definición


K-means clustering         
k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.
Eldred Kurtz Means         
BORN 1878; DIED 1957
Draft:Eldred Kurtz Means; Edward Kurtz Means; Eldred K. Means
Eldred Kurtz Means (March 11, 1878 – February 19, 1957) was an American Methodist Episcopal clergyman, famed public speaker, and author. A white man, he wrote fictional stories about African/African American characters living in an area of Louisiana he named Tickfall.
means-tested         
ELIGIBILITY CRITERIA BASED ON FINANCIAL STATUS
Means-testing; Means testing; Means tested; Means-test; Means-tested; Means Test; Income based; Needs based; Needs-based; Income-based; Means-tested benefit; Criticism of means-testing
A grant or benefit that is means-tested varies in amount depending on a means test.
...means-tested benefits.
ADJ