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davidkrantz / Colorfy

Finds a suitable background color to the artwork of the current Spotify playback and sets it to a LED-strip using a Raspberry Pi
MIT License
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Change clustering method used to find distinct colors in album artwork #3

Open davidkrantz opened 5 years ago

davidkrantz commented 5 years ago

Right now the K-means clustering method is used to find K distinct colors from the album artwork. This method has its flaws, more specifically:

Therefore, the accuracy of the system could potentially be significantly increased by changing the clustering method. Potential clustering methods include DBSCAN and HDBSCAN, where the latter probably is the better choice as it allows clusters of different densities, is efficient and only requires one parameter, namely the minimum cluster size.

The clustering takes place in the file spotify_background_color.py in the method best_color. When evaluating different clustering methods, the plotting feature of this method might be of use. This can be activated by simply setting the argument plot=True.

Pixeled99 commented 1 year ago

Hello, I was wondering if you had found any for this yet? I am also having trouble with accuracy and speed with KMeans

davidkrantz commented 1 year ago

Hi! I have not tried this yet and no one is working on this issue at the moment, so feel free to give it a go! Nowadays, there might even exist new better suitable clustering methods than the two I mentioned above.