宽大
发表于 2025-3-27 00:05:49
Motivation, Problems and Approach,eversible lossy visual representations of n-D data along with their impact on efficiency of solving Data Mining/Machine Learning tasks. The approach concentrates on reversible representations along with the hybrid methodology to mitigate deficiencies of different representations.
Observe
发表于 2025-3-27 05:07:10
http://reply.papertrans.cn/99/9838/983746/983746_32.png
SEED
发表于 2025-3-27 05:19:43
Discovering Visual Features and Shape Perception Capabilities in GLC,s for classification these high-dimensional data. The chapter concludes with a description of the cooperative visualization approach to enhance Knowledge Discovery in solving Data Mining/Machine Learning tasks.
gusher
发表于 2025-3-27 09:35:49
Pareto Front and General Line Coordinates,pter shows a way to accomplish this with GLC-L visualization method defined Chap. 7. It also shows a way to visualize the approximation set for the Pareto Front with Collocated Paired Coordinates, defined in Chap. 2 in comparison with Parallel Coordinates to assists in finding “best” Pareto points.
definition
发表于 2025-3-27 14:26:11
Toward Virtual Data Scientist and Super-Intelligence with Visual Means, to meet this Big data challenge, with a minimal contribution from data scientists. This chapter describes our vision of such a “virtual data scientist”, based on the visual approach of the General Line Coordinates.
DAUNT
发表于 2025-3-27 19:51:09
http://reply.papertrans.cn/99/9838/983746/983746_36.png
附录
发表于 2025-3-28 01:00:09
http://reply.papertrans.cn/99/9838/983746/983746_37.png
acrophobia
发表于 2025-3-28 02:17:59
Interactive Visual Classification, Clustering and Dimension Reduction with GLC-L,relations and dimension reduction. Classification and dimension reduction tasks from three domains, image processing, computer-aided medical diagnostics and finance (stock market), are used to illustrate this method.
可行
发表于 2025-3-28 06:39:55
http://reply.papertrans.cn/99/9838/983746/983746_39.png
zonules
发表于 2025-3-28 13:11:00
Intelligent Systems Reference Libraryhttp://image.papertrans.cn/v/image/983746.jpg