This is the Windows app named LakhCleanAnalysis whose latest release can be downloaded as jupyter.zip. It can be run online in the free hosting provider OnWorks for workstations.
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LakhCleanAnalysis
DESCRIPTION:
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.
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