High-Dimensional Topological Data Analysis

Unlike other machine learning methods, this topological data analysis method im- poses less burden in the sense that the human-in- the-loop does not need to select the right metric

Visualization/Exploration Using Gephi and Plotly For the data exploration, we also used a open source network display program Gephi (Gephi 2018) as a way to visualize the LANL

Here we used a systems analysis to investigate these differences by analyzing the neutralizing antibody response to a trivalent inactivated seasonal influenza vaccine (TIV) and a

Run (repeated) discrete algebraic Morse theory reduction restricted to each Morse tile. Spendlove) Over field coefficients the boundary operator for a minimal chain complex is

In engineering and scientific applications, large volumes of data are often found in the form of a well-known (geometrical or topological) space, on which scalar fields or vector

In the vicinity of the bonding critical point, this analysis reveals that a minimum of electron population ( | ˜ρ | ) is achieved at distinct values for hydrogen bonds (10 − 1 ,

In this context, we first designed a new soft clustering algorithm for the mode seeking framework using such random walks and we provided a way to bound the 2-Wasserstein