Clustering Antarctic Penguin Species

Clustering Antarctic Penguin Species

Use unsupervised learning to uncover species patterns in Antarctic penguin data.

Explore a curated dataset of Antarctic penguins using K-means clustering. Apply unsupervised learning techniques to identify hidden patterns, relationships, and natural groupings among different penguin species living in the icy regions of Antarctica.

Apply K-means clustering to real-world ecological data.
Discover species groupings based on physical characteristics.
Visualize and interpret the structure of penguin clusters.
Gain insights into species distribution without labeled data.

Strategy

Use clustering to group penguins by biological features.

Design

Apply K-means on unlabeled ecological data in Python.

Client

Wildlife researchers and ecological data scientists.