Unlock instant, AI-driven research and patent intelligence for your innovation.

A Method for Reducing Visual Clutter in Parallel Coordinates Visualization Based on Dimension Reordering

A parallel coordinate and reordering technology, applied in the field of information visualization, can solve the problems of ignoring visual clutter and not fully reflecting visual clutter, and achieve the effect of reducing visual clutter and efficient approximate calculation methods.

Active Publication Date: 2020-04-03
SOUTHWEST JIAOTONG UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Similarity-based methods only independently consider the overall characteristics of samples on each attribute, segment the relationship between attributes of a single sample, and ignore the visual clutter between attribute axes; methods based on distance metrics are only applicable to some cases, without adequately reflecting the nature of visual clutter

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method for Reducing Visual Clutter in Parallel Coordinates Visualization Based on Dimension Reordering
  • A Method for Reducing Visual Clutter in Parallel Coordinates Visualization Based on Dimension Reordering
  • A Method for Reducing Visual Clutter in Parallel Coordinates Visualization Based on Dimension Reordering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] Specific embodiments of the present invention are further described below.

[0040] Step 1: Input data set D={d 1 , d 2 ,...,d m}, where m is the sample size, d i =(d i,1 , d i,2 ,...,d i,n ), 1≤i≤m, n is the attribute dimension, and the attribute set is A={A 1 ,A 2 ,...,A n}; if A contains category attributes, record it as A class ={C 1 ,C 2 ,...,C l}, class is the dimension where the category attribute is located; if A does not contain the category attribute, use the clustering method to obtain the sample category attribute and record it as A class ; The sample sets of each category are denoted as l is the number of categories;

[0041] Step 2: Calculate the clutter of the sample between any two attributes Clutter(A p ,A q ), 1≤p, q≤n, to obtain the clutter matrix Clutter, the specific steps are as follows:

[0042] Step 2.1: Calculate according to the intersection of the representative curves of different categories of samples, the specific steps ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for lowering visual clutter of parallel coordinate visualization based on dimension reordering. The method comprises the steps that first, the clutter of samples between two arbitrary attribute axes is calculated, and a clutter matrix is obtained; second, according to the clutter matrix, an attribute axis arrangement mode enabling a clutter sum to be minimum is found; and last, parallel coordinate axes are drawn according to the obtained attribute axis arrangement order, and a parallel coordinate visualization view with minimum clutter is obtained. Through themethod, the visual clutter, caused by inappropriate dimension ordering, of parallel coordinate visualization is effectively lowered, and the functions of understanding and analyzing data more visuallyare provided for users by reducing the quantity of cross points of curves.

Description

technical field [0001] The invention relates to the field of information visualization, in particular to a method for reducing visual clutter in parallel coordinate visualization based on dimension reordering. Background technique [0002] In the Internet era, the generation and dissemination speed of information has been rapidly developed, especially with the advent of the era of big data, data is increasingly showing a trend of high dimensionality and large capacity. When people are directly faced with a large amount of data, it is usually difficult to grasp the valuable information in it, so as to make new decisions to guide production and life. With the continuous development of visualization technology, people can analyze and explore data conveniently and intuitively by means of graphic images and human-computer interaction. At present, visualization technology has played an important role in many fields such as biology, medicine, physics, chemistry, etc., and has attr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/16G06N3/00
CPCG06F17/16G06N3/006
Inventor 李天瑞李运隆龚勋彭博杜圣东
Owner SOUTHWEST JIAOTONG UNIV