OhadCohen97 / Kmeans-clustering

K-means clustering is a type of unsupervised learning, which is used when you have unlabeled data. The goal of this algorithm is to find groups in the data, with the number of groups represented by the variable K.

Kmeans-clustering

K-means clustering is a type of unsupervised learning algorithm, which is used when you have unlabeled data. The goal of this algorithm is to find groups in the data, with the number of groups represented by the variable K.

The dataset I used is hand-write digits 0 through 9, taken from sklearn library datasets.

Observations before clustering division

Observations after clustering division