7 citations · 37 across the 10 of their papers we have counts for
5 papers · 2 filters
Clustering by Deep Nearest Neighbor Descent (D-NND): A Density-based Parameter-Insensitive Clustering Method
Teng Qiu, Yongjie Li
Most density-based clustering methods largely rely on how well the underlying density is estimated. However, density estimation itself is also a challenging problem, especially the…
IT-Dendrogram: A New Member of the In-Tree (IT) Clustering Family
Teng Qiu, Yongjie Li
Previously, we proposed a physically-inspired method to construct data points into an effective in-tree (IT) structure, in which the underlying cluster structure in the dataset is…
Nonparametric Nearest Neighbor Descent Clustering based on Delaunay Triangulation
Teng Qiu, Yongjie Li
In our physically inspired in-tree (IT) based clustering algorithm and the series after it, there is only one free parameter involved in computing the potential value of each point…
Clustering by Descending to the Nearest Neighbor in the Delaunay Graph Space
Teng Qiu, Yongjie Li
In our previous works, we proposed a physically-inspired rule to organize the data points into an in-tree (IT) structure, in which some undesired edges are allowed to occur. By rem…
IT-map: an Effective Nonlinear Dimensionality Reduction Method for Interactive Clustering
Teng Qiu, Yongjie Li
Scientists in many fields have the common and basic need of dimensionality reduction: visualizing the underlying structure of the massive multivariate data in a low-dimensional spa…