Statistics for Machine Learning

K-means clustering

Clustering is the task of grouping observations in such a way that members of the same cluster are more similar to each other and members of different clusters are very different from each other.

Clustering is commonly used to explore a dataset to either identify the underlying patterns in it or to create a group of characteristics. In the case of social networks, they can be clustered to identify communities and to suggest missing connections between people. Here are a few examples:

• In anti-money laundering measures, suspicious activities and individuals can be identified using anomaly detection
• In biology, clustering is used to find groups of genes with similar expression patterns
• In marketing analytics, clustering is ...