High-dimensional data visualisation with the grand tour

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

High Dimensional Clustering Using Parallel Coordinates and the Grand Tour

In this paper, we present some graphical techniques for cluster analysis of high-dimensional data. Parallel coordinate plots and parallel coordinate density plots are graphical techniques which map multivariate data into a two-dimensional display. The method has some elegant duality properties with ordinary Cartesian plots so that higher-dimensional mathematical structures can be analyzed. Our ...

متن کامل

High-dimensional data visualisation: The textile plot

The textile plot is a parallel coordinate plot in which the ordering, locations and scales of the axes are simultaneously chosen so that the connecting lines, each of which represents a case, are aligned as horizontally as possible. Plots of this type can accommodate numerical data as well as ordered or unordered categorical data, or a mixture of these different data types. Knots and parallel w...

متن کامل

High Dimensional Data Visualisation: Textile Plot

Textile plot is a parallel coordinate plot on which the whole location and scales of the axes are simultaneously chosen so that all connecting lines, each of which signifies an observation, are aligned as horizontally as possible. Textile plot can visualise not only numerical data but also ordered or unordered categorical data or the mix of those. Textile plot makes easier for user to understan...

متن کامل

Probabilistic Visualisation of High-Dimensional Binary Data

We present a probabilistic latent-variable framework for data visualisation, a key feature of which is its applicability to binary and categorical data types for which few established methods exist. A variational approximation to the likelihood is exploited to derive a fast algorithm for determining the model parameters. Illustrations of application to real and synthetic binary data sets are gi...

متن کامل

Analysis and visualisation of high-dimensional data

Visualisation and processing of high-dimensional data can be made easier by dimensionality reduction, which attempts to represent data with few variables or features and minimal information loss. Our research projects investigate a particular family of state-of-the-art methods of dimensionality reduction, called stochastic neighbour embedding. Improved and more flexible loss functions, multi-sc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: EPJ Web of Conferences

سال: 2020

ISSN: 2100-014X

DOI: 10.1051/epjconf/202024506018