HF RL Explorer

Task: 1D Clustering Using Kernel Density Estimation with Scikit-learn

Task: 1D Clustering Using Kernel Density Estimation with Scikit-learn: a task in Terminal-Lego-15k (Harbor dataset). Implement a Python script that uses Kernel Density Estimation (KDE) from scikit-learn to perform 1D clustering on univariate data. The script must cluster data points by finding…

The task

Implement a Python script that uses Kernel Density Estimation (KDE) from scikit-learn to perform 1D clustering on univariate data. The script must cluster data points by finding density peaks using KDE, then splitting the data into a preset number of clusters based on the density minima between peaks.

Part of PrimeIntellect/Terminal-Lego-15k.