Keywords: Penguin, Cluster
This study employs clustering techniques on penguin size, clutch, and blood isotope data to understand ecological dynamics. Penguins, as environmental health indicators, offer insights into diverse ecosystems. The research's main goal is to uncover patterns and relationships in these variables across multiple species, regions, and seasons. By applying clustering algorithms like k-means and hierarchical clustering, the study reveals valuable insights into population distribution based on size, clutch, and blood isotope profiles.
Aim
To predict Penguin Dataset Using DL Technique
Objective
Employ clustering techniques on diverse penguin dataset, including size, clutch, and blood isotope data, to unveil patterns and relationships, enhancing understanding of ecological dynamics and population variations among penguin species across regions and seasons.
ANN Technique used
Jupyter, Google Collab
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