Introduction


Introduction

K-Means is an unsupervised machine learning algorithm. It is one of the most popular algorithm for clustering. It is used to analyze an unlabeled dataset characterized by features, in order to group “similar” data into k groups (clusters).

For example, K-Means can be used for behavioral segmentation, anomaly detection…


Introduction:

In machine learning, the purpose is to find certain types of patterns. To do so, you need to train a model over a dataset using algorithms so that the model can learn from those data. …


Introduction :

In machine learning, the purpose is to find certain types of patterns. To do so, you need to train a model over a dataset using algorithms so that the model can learn from those data. …

Lea Setruk

MSc in Data Science

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