Clustering, Spectral Clustering, Machine Learning, Data Science, Python.
graph representation of the data, spectral clustering minimizes the impact of noisy data points, ensuring more reliable and stable clustering outcomes. 4. Scalability: Spectral clustering can be applied to large, high-dimensional datasets, making it suitable for handling big data challenges.