DBSCAN
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a popular clustering algorithm used in data mining and machine learning.
clustering
t-SNE
t-SNE (t-distributed Stochastic Neighbor Embedding) is a machine learning algorithm used for dimensionality reduction and data visualization, particularly effective for high-dimensional datasets. It maps complex data into a lower-dimensional space while preserving local similarities.
Unsupervised learning
Unsupervised learning is a machine learning paradigm that analyzes data without pre-labeled responses to identify patterns and structures.
Spectral clustering
Spectral clustering is a technique in machine learning that uses eigenvalues of a similarity matrix to reduce dimensionality before clustering data points.
OPTICS algorithm
The OPTICS (Ordering Points To Identify the Clustering Structure) algorithm is a density-based clustering method that identifies clusters of varying shapes and sizes in large datasets.