HxnDev/K-Means-on-IRIS-Dataset

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, serving as a prototype of the cluster.

语言：Jupyter Notebook · GitHub 星标：4 · Fork：1

话题：code · iris · iris-dataset · jupyter-notebook · kmeans · kmeans-algorithm · kmeans-clustering · kmeans-clustering-algorithm

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