Zoo Project (1).pptx Tools and Technology Used:
Data Preprocessing, Machine Learning Models: SDSU TIDE JupyterHub, Python
Spectrogram Visualizations: Triton, Streamlit
Comparing the performance of two clustering algorithms allows us to select the approach that yields more meaningful results.
By complementing spectrograms with audio segments, we can better understand the reasoning behind the clustering of specific audio segments.