Yang, Cheng-ChihCheng-ChihYangChiang, Cheng-ChiehCheng-ChiehChiangYI-PING HUNGLee, G.C.G.C.Lee2011-04-182018-07-052011-04-182018-07-05200510939547http://ntur.lib.ntu.edu.tw//handle/246246/232921https://www.scopus.com/inward/record.uri?eid=2-s2.0-33749047032&doi=10.1109%2fIV.2005.146&partnerID=40&md5=a791b4038b7e5b6bb2bd5a2858856682This paper presents a visualization tool, VisHD, that can visualize the spatial distribution of vector points in high dimensional feature space. It is important to handle high dimensional information in many areas of computer science. VisHD provides several methods for dimension reduction in order to map the data from high dimensional space to low dimensional one. Next, this system builds intuitive visualization for observing the characteristics of the data set, whether these data are pre-defined labels or not. In addition, some useful functions have been implemented to facilitate the information visualization. This paper, finally, gives some experiments and discussions for showing the abilities of VisHD for visualizing high-dimensional data. © 2005 IEEE.en-USDimension reduction; High-dimensional data; Information visualizationData handling; Data structures; Information analysis; Vectors; Dimension reduction; High-dimensional data; Information visualization; Vector points; Data reductionVisualization for High-dimensional Data: VisHDconference paper10.1109/IV.2005.1462-s2.0-33749047032http://ntur.lib.ntu.edu.tw/bitstream/246246/232921/-1/29.pdf