Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

As data science continues to evolve, the k-means clustering algorithm remains a valuable tool to uncover insights and patterns within complex datasets. Understanding the elbow method and the ...

K-means is comparatively simple and works well with large datasets, but it assumes clusters are circular/spherical in shape, so it can only find simple cluster geometries. Data clustering is the ...