This book is the third volume of the Handbook of Computational Statistics and covers the field of Data Visualization. In line with the companion volumes, it contains a collection of chapters by experts in the field to present readers with an up-to-date and comprehensive overview of the state of...

This book is the third volume of the Handbook of Computational Statisticsand covers the field of Data Visualization. In line with the companion volumes,it contains a collection of chapters by experts in the field to present readerswith an up-to-date and comprehensive overview of the state of the...

This book is the third volume of the Handbook of Computational Statistics and covers the field of Data Visualization. In line with the companion volumes, it contains a collection of chapters by experts in the field to present readers with an up-to-date and comprehensive overview of the state of...

This paper will provide information on what a hypercube is and how to use them in graphing the financial markets, especially in the Poseidon software that I am developing. What types of hypercubes are there? How to describe the market in higher dimensions? What are the common variables to use in...

This paper will provide information on what happened in the financial crisis of 2008 and how to graph volatility outside of the option market. We will investigate the causes of the financial crisis, as well as some of the social inequalities that still exist today. We will explore household...

This paper will provide information on topographic finance and how it can be used in econometric and financial analysis. First we will cover what topographic finance means. Secondly, a discussion of what problems can be visualized will be but forth. Thirdly, a high level description of the...

Topographic finance is the study of surfaces to describe financial systems in multiple dimensions. The problem with finance and economics is to describe accurately what is actually governing price dynamics. The price dynamics are behavioral and do not exhibit a rational maximization of a utility...

In machine learning and data science literature, clustering is the task of dividing the observations (data points) into several categories in such a way that data points falling into one group are being dissimilar than the data points falling to the other groups such that the variation within a...