Atlas Guo is a cartographer and Ph.D. student. We met with him to learn more about mapping natural disasters and what goes into making a well-designed map.

A New Approach For Exploring Multivariate Data Self-organising maps. Timothy Bock University of New South Wales. Introduction. The importance of exploratory data analysis as a means of gaining ...

Desirable equivariance properties are shown to hold for these multivariate quantiles, and issues related to their computation for data in finite-dimensional spaces are discussed. n1/2 consistency and ...

Course TopicsMultivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used ...

Data Set: The Iris flower data set will be used for illustration purpose. It includes 50 samples from each of three species of Iris (setosa, virginica and versicolor). Four outcome variables were ...

Mona, the maker of an AI monitoring platform, has introduced a new automated exploratory data analysis tool to identify the root cause of anomalies in multivariate datasets. Multivariate data analysis ...

Upper panel displays functional MRI (fMRI) maps obtained from the functional connectivity multivariate patterns analysis conducted on dataset 1 and dataset 2. In particular, the average ...

Statistics are often viewed as confusing and complicated, but multivariate data analysis (MVA) methods can be used to amass knowledge simply. Traditionally, studies are performed and analysed ...

Id: 038569 Credits Min: 3 Credits Max: 3 Description. This course introduces statistical methods and techniques for multivariate data analysis. The course studies basic ideas underlying multivariate ...