An Analytical Survey on Recent Trends in High Dimensional Data ...

The goal of our paper is to survey the performance of current high-dimensional data visualization techniques and quantify their strengths and weaknesses.

[PDF] An Analytical Survey on Recent Trends in High Dimensional ...

The goal of this paper is to survey the performance of current high-dimensional data visualization techniques and quantify their strengths and weaknesses ...

(Open Access) An Analytical Survey on Recent Trends in High ...

Data visualization is the process by which data of any size or dimensionality is processed to produce an understandable set of data in a lower ...

An Analytical Survey on Recent Trends in High Dimensional ... - dblp

Alexander Kiefer, Md. Khaledur Rahman: An Analytical Survey on Recent Trends in High Dimensional Data Visualization. CoRR abs/2107.01887 (2021).

Advances in High-Dimensional Data Analysis - Special Issue - MDPI

The aim of this Special Issue is to collect research papers that use statistical (methodological, theoretical, or computational) principles for high- ...

Visualizing High-Dimensional Data: Advances in the Past Decade

... high-dimensional data visualization and possible emerging research directions. ... His research interests include large scale data analysis, performance analysis ...

HIGH DIMENSIONAL DATA ANALYSIS - ResearchGate

... This theory is closely connected to modern high-dimensional statistics, and has provided in recent years many efficient estimation and testing procedures ...

A Survey of Dimension Reduction Methods for High-dimensional ...

High-dimensional Data Analysis and Visualization. ∗. Daniel Engel1, Lars ... For online scenarios where, instead of new points, new dimensions are added to the ...

HIGH-DIMENSIONAL DATA ANALYSIS PROBLEMS IN ...

Recent technological developments give researchers the opportunity to obtain large informative datasets when studying infectious disease. Such ...

Comprehensive review of high-dimensional monitoring methods

High-Dimensional data analysis is often divided into two main groups: high-dimensional approaches and analysis based on dimension reduction methods. Figure 1

Visualizing High-Dimensional Data: Advances in the Past Decade

In particular, we provide an extensive survey of visualization techniques derived from topological data analysis (Section 3.5, Section 4.4), a new area of study ...

High Dimensionality - an overview | ScienceDirect Topics

A fundamental challenge for machine learning is studying high-dimensional data [27]. DNA microarray technology has been broadly used in cancer studies for ...

A Survey on High-Dimensional Subspace Clustering - MDPI

With the rapid development of science and technology, high-dimensional data have been widely used in various fields. Due to the complex characteristics of ...

High Dimensional Data Analysis - UC Berkeley Statistics

High-dimensional statistics focuses on data sets in which the number of features is of comparable size, or larger than the number of observations.

Statistical analysis of high-dimensional biomedical data: a gentle ...

Advances in statistical methodology and machine learning methods offer new opportunities for innovative analyses of HDD, but at the same time ...

[Question] What is the current state of high-dimensional statistics?

42 votes, 34 comments. Genuinely interested in its development or if it is merging into DS/ML research. A shallow description is that we ...

Making the most of high‐dimensional cytometry data - PMC

High‐dimensional cytometry represents an exciting new era of immunology research; however, the transition from low‐ to high‐dimensional cytometry requires a ...

High-dimensional statistical inference: Theoretical development to ...

In modern-day analytics, there is ever-growing need to develop statistical models to study large data sets, i.e., high-dimensional data. Between dimension ...

ISYE 8803: Topics on High-Dimensional Data Analytics - OMSCS

This course focuses on analysis of high-dimensional structured data including profiles, images, and other types of functional data using statistical machine ...

(PDF) Information Analysis of High-Dimensional Data and Applications

In fact, the diverse research activities surrounding the big data are so vast that they form a new discipline, namely, the data science. There ...