Store clustering, often also referred to as ‘store grouping’, is a way of grouping stores based on similarities, such as LSM, size and demographics. As [...]
Clustering forms part of data mining, which analyses data and transforms it into information that you can understand and use in your retail business. This practice aims to help you to retrieve informa[...]
As far as effective methods to segment your retail data go, hierarchical clustering is one worth considering. It’s simple and easy to use. It also provides an edge over the k-means algorithm as you do[...]
K-means clustering is an unsupervised algorithm which you can use to organise large amounts of retail data to generate competitive insights about your business. There are many use cases which can help[...]
Cluster analysis is a technique used in machine learning which groups data points together based on the similarities between them. You can use various clustering algorithms which provide valuable insi[...]
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