Approaches range from classical line‐simplification algorithms to advanced semantic compression methods that incorporate clustering and multi-resolution analysis.

One of the main challenges of any online business is to get actionable insight from their data for decision-making. Spotify shares its methodology and experience to solve this problem by clustering di ...

A k-means-type algorithm is proposed for efficiently clustering data constrained to lie on the surface of a p-dimensional unit sphere, or data that are mean-zero-unit-variance standardized ...

Rudi Cilibrasi, , Ronald de Wolf, Algorithmic Clustering of Music Based on String Compression, Computer Music Journal, Vol. 28, No. 4 (Winter, 2004), pp. 49-67 ...