Graph-Based Clustering and Data Visualization Algorithms

This work presents a data visualization technique that combines graph—based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low—dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges characterize relations and weights represent similarities or distances) provides a compact representation of the entire complex data set. This text describes c...