Systematic Methods for Multivariate Data Visualization and Numerical Assessment of Class Separability and Overlap in Automated Visual Industrial Quality Control
Andreas König,Olaf Bulmahn,Manfred Glesner +2 more
- 01 Jan 1994
pp 1-10
TL;DR: The focus of this work is on systematic methods for the visualization and quality assessment with regard to classificatio n of multivariate data sets and a novel criterion to assess the credibility and reliability of the visualization obtained from high dimensional data projection.
read more
Abstract: The focus of this work is on systematic methods for the visualization and quality assessment with regard to classificatio n of multivariate data sets. Our novel methods and criteria give in visual and numerical form rapid insight in the principal data distribution, the degree of compactness and overlap of class regions and class separability, as well as information to identify outliers in the data set and trace them back to data acquisition. Assessment by visualization and numerical criteria can be exploited for interactive or automatic optimization of feature generation and selection/extraction in pattern recognition problems. Further, we provide a novel criterion to assess the credibility and reliability of the visualization obtained from high dimensional data projection. Our methods will be demonstrated using data from visual industrial quality control and mechatronic applications.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Computational Science and Its Applications – ICCSA 2013
Beniamino Murgante,Sanjay Misra,Maurizio Carlini,Carmelo Maria Torre,Hong-Quang Nguyen,David Taniar,Bernady O. Apduhan,Osvaldo Gervasi +7 more
- 01 Jan 2013
TL;DR: The objective of this presentation is to compare usefulness of these two leading wireless schemes based on LTE and Wireless Mesh Networks and bring forward their advantages for indoor and outdoor environments, and investigate to see if a hybrid LTE-WMN network may be feasible.
93
Evaluating Multi-Dimensional Visualizations for Understanding Fuzzy Clusters
Ying Zhao,Feng Luo,Minghui Chen,Yingchao Wang,Jiazhi Xia,Fangfang Zhou,Yunhai Wang,Yi Chen,Wei Chen +8 more
TL;DR: A controlled experiment is conducted to evaluate the ability of fuzzy clusters analysis to use four multi-dimensional visualization techniques, namely, parallel coordinate plot, scatterplot matrix, principal component analysis, and Radviz.
69
•Proceedings Article
Active User Intervention in an EC Search
Hideyuki Takagi
- 01 Dec 2000
TL;DR: Two interactive evolutionary computation (IEC) methods that allow users to actively participate in an EC search are proposed that introduce a 2-D visualization of an n-D searching space and an on-line knowledge embedding method.
35
Acceleration of EC convergence with landscape visualization and human intervention
TL;DR: This visualization helps to envision the landscape of an n -D searching space, so that it is easier for us to join an EC search by indicating the possible global optimum estimated in the 2-D mapped space.
35
•Proceedings Article
Acceleration of EC Convergence with Landscape Visualization and Human Intervention
N. Hayashida
- 01 Jan 2002
TL;DR: In this article, the authors propose Visualized EC/IEC as an evolutionary computation (EC) and interactive EC (IEC) with visualizing individuals in a multi-dimensional searching space in a 2D space.
28
References
Textural Features for Image Classification
Robert M. Haralick,K. Shanmugam,Its'hak Dinstein +2 more
- 01 Nov 1973
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
23.6K
•Book
Introduction to Statistical Pattern Recognition
Keinosuke Fukunaga
- 01 Jan 1972
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
12.1K
•Book
Self Organization And Associative Memory
Teuvo Kohonen
- 01 Jan 1984
TL;DR: The purpose and nature of Biological Memory, as well as some of the aspects of Memory Aspects, are explained.
9.8K
A Nonlinear Mapping for Data Structure Analysis
TL;DR: An algorithm for the analysis of multivariate data is presented along with some experimental results that is based upon a point mapping of N L-dimensional vectors from the L-space to a lower-dimensional space such that the inherent data "structure" is approximately preserved.
3.7K
Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
TL;DR: A family of graph-theoretical algorithms based on the minimal spanning tree are capable of detecting several kinds of cluster structure in arbitrary point sets; description of the detected clusters is possible in some cases by extensions of the method.