The goals of project are described in the web page https://lakhcleananalysis.sourceforge.io/
and in the YouTube video referenced here.
Presently, we are analyzing the note onset distribution, the pitch class distribution, and the midi program assignments for the entire dataset. Each of these entities are represented by a separate vector for each midi file. These vectors were clustered using the kmeans and HDBSCAN algorithms. The vectors (midi files) were projected into a two dimensional space using the UMAP algorithm. A user interface, umapPlot.tcl is provided to explore this space.
Features
- Displays the UMAP mapping for one of three feature sets derived from the Lakh Clean Midi Dataset.
- On zooming into one of the regions of the UMAP mapping, details associated with each data sample (midi file) is displayed.
Follow LakhCleanAnalysis
Other Useful Business Software
Paessler - Monitor Your Whole Network in Minutes
Waiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of LakhCleanAnalysis!