March 2018
Intermediate to advanced
164 pages
3h 39m
English
For clustering music with audio data, the data points are the feature vectors from the audio files. If two points are close together, it means that their audio features are similar. We want to discover which audio files belong to the same neighborhood because these clusters will probably be a good way to organize your music files:
Some common input types in ML algorithms are audio and image files. This shouldn't come as a surprise because sound recordings and photographs are raw, redundant, ab nd often noisy representations of semantic concepts. ML is a tool to help handle these complications. These data files have various implementations, for example, an ...