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.

Project Samples

Play Video

Project Activity

See All Activity >

Follow LakhCleanAnalysis

LakhCleanAnalysis Web Site

Other Useful Business Software
$300 Free Credits to Build on Google Cloud Icon
$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of LakhCleanAnalysis!

Additional Project Details

Registered

2023-08-02
Report inappropriate content