Kohonen self organising maps for music clustering in Python
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Updated
Mar 13, 2019 - Python
Kohonen self organising maps for music clustering in Python
Checking basic machine learning models for Iranian music genere detection. Out models include both classification and clustering models.
Genre Based Music Classifier
Unsupervised ML project that clusters Amazon Music tracks by audio features (tempo, energy, danceability) using K-Means & DBSCAN. Includes EDA, PCA visualization, and an interactive Streamlit app for real-time cluster prediction. Perfect for playlist generation & music recommendations!
Music Embedding Clustering Using a Pretrained Speaker Verification Model. Can a model trained for speaker verification separate songs from different bands?
Intelligent music mood clustering & playlist generator using librosa and K-Means. Features a modern PySide6 desktop player and CLI for local audio collections.
A deep learning approach to unsupervised music genre clustering using Beta-Variational Autoencoders (β-VAE) with multi-modal features combining audio analysis and lyrical content
Spotify top songs clustering
🎵 AI-powered Music Genre Clustering platform using K-Means, PCA, and Cosine Similarity to group similar songs and discover music patterns.
A Streamlit-based Machine Learning application for music genre clustering using the K-Means algorithm.
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