K-Means and Hierarchical Clustering

Efficient clustering algorithms implementations in TensorFlow and NumPy. – Jun 11, 2021

Here, our goal is to apply unsupervised learning methods to solve clustering and dimensionality reduction in two distinct task. We implemented the K-Means and Hierarchical Clustering algorithms (and their evaluation metrics) from the ground up. Results are presented over three distinct datasets, including a bonus color quantization example.