Clustering algorithms are primarily used in the fields of Artificial Intelligence, Big Data and Smart Data, and automation. They help to meaningfully organise large amounts of data and recognise patterns without pre-determining what the groups should look like.
Clustering algorithms can be thought of as sorters that create meaningful groups from a pile of unstructured data. For example, an online shop uses clustering algorithms to sort similar customers based on their purchasing behaviour. The algorithm might recognise that there is one group particularly interested in sports equipment, while another tends to buy technology products. These groups can then be targeted with suitable offers.
Clustering algorithms are particularly useful when companies don't have a fixed plan for how to divide their data but still want to find meaningful commonalities. This saves them time and provides new insights into their data. This technique is an important building block for automation and data-driven decision-making in modern businesses.
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