Is Hierarchical Clustering Worth Pursuing?

By Erin Hodgson | on 27, Feb 2020 |   Clustering Algorithms Cluster Analysis K-means Clustering Hierarchical Clustering Agglomerative clustering Divisive clustering

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 And Why It’s Good For Business

By Erin Hodgson | on 25, Feb 2020 |   Clustering Algorithms Cluster Analysis K-means Clustering

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[...]