- Version 2019.3
- Sold by Intel® AI
K-Means is among the most popular and simplest clustering methods. It is intended to partition a data set into a small number of clusters such that feature vectors within a cluster have greater similarity with one another than with feature vectors from other clusters. Each cluster is characterized...
Algorithm - Fulfilled on Amazon SageMaker