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After reading the wiki page for biclustering (https://en.m.wikipedia.org/wiki/Biclustering), I am really confused on what is the difference between biclustering and clustering?

Any explanation/comparisons would be really appreciated. Many thanks.

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Clustering find groups of observations in a p dimensional space (p features).

3D space

Biclustering enables you to find clusters in a subset of features. Then why would you need other features than this subset to perform the clustering? Because locally you may find dimensions a & b useful to identify a cluster (green cluster in the figure) and somewhere else in the space, dimensions b & c might be useful to identify other clusters (light blue and purple clusters on the figure).

2D projections of the 3D space

Sources :

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