Le clustering est l’action de regrouper des objets ou des points de données similaires. Il s’agit d’une technique essentielle en data science et en machine learning.L’algorithme d’apprentissage non ...

The major weakness of k-means clustering is that it only works well with numeric data because a distance metric must be computed. There are a few advanced clustering techniques that can deal with ...

The major weakness of k-means clustering is that it only works well with numeric data because a distance metric must be computed. There are a few advanced clustering techniques that can deal with ...

By using K-Means clustering, an online retailer may identify that its client base naturally divides into three groups: budget-conscious shoppers, regular shoppers, and luxury shoppers.