5 citations · 5 across the 3 of their papers we have counts for
7 papers
Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data
Yu Liang, Arin Chaudhuri, Haoyu Wang
Dimension reduction and visualization of high-dimensional data have become very important research topics because of the rapid growth of large databases in data science. In this pa…
Fault Detection Using Nonlinear Low-Dimensional Representation of Sensor Data
Kai Shen, Anya Mcguirk, Yuwei Liao +2
Sensor data analysis plays a key role in health assessment of critical equipment. Such data are multivariate and exhibit nonlinear relationships. This paper describes how one can e…
Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection
Zekun Xu, Deovrat Kakde, Arin Chaudhuri
In recent years, there have been many practical applications of anomaly detection such as in predictive maintenance, detection of credit fraud, network intrusion, and system failur…
A fast algorithm for computing distance correlation
Arin Chaudhuri, Wenhao Hu
Classical dependence measures such as Pearson correlation, Spearman's , and Kendall's can detect only monotonic or linear dependence. To overcome these limitations, Szekely…
A New SVDD-Based Multivariate Non-parametric Process Capability Index
Deovrat Kakde, Arin Chaudhuri, Diana Shaw
Process capability index (PCI) is a commonly used statistic to measure ability of a process to operate within the given specifications or to produce products which meet the require…
A new bandwidth selection criterion for using SVDD to analyze hyperspectral data
Yuwei Liao, Deovrat Kakde, Arin Chaudhuri +3
This paper presents a method for hyperspectral image classification that uses support vector data description (SVDD) with the Gaussian kernel function. SVDD has been a popular mach…