Clustering and Dimensionality Reduction assignment from the Machine Learning course (M2.991), part of the Master's in Data Science at UOC.

• notebooks/M2.991_20252_PAC2_Enunciat.ipynb: Original assignment
• notebooks/M2.991_20252_PAC2_Solution.ipynb: Solution
• env_m2_891_20252_pec2 .yml: Conda environment file

1. Create the conda environment:

   conda env create -f "env_m2_891_20252_pec2 .yml"

2. Activate the environment:

   conda activate env_m2_891_20252_pec2

3. Run the notebook:

   jupyter notebook notebooks/M2.991_20252_PAC2_Enunciat.ipynb

• K-Means, DBSCAN, Hierarchical Clustering
• PCA, t-SNE, UMAP
• Image clustering and outlier detection