Scattering Points in Parallel Coordinates Export

@article{citeulike:5998148, abstract = {In this paper, we present a novel parallel coordinates design integrated with points (Scattering Points in Parallel Coordinates, SPPC), by taking advantage of both parallel coordinates and scatterplots. Different from most multiple views visualization frameworks involving parallel coordinates where each visualization type occupies an individual window, we convert two selected neighboring coordinate axes into a scatterplot directly. Multidimensional scaling is adopted to allow converting multiple axes into a single subplot. The transition between two visual types is designed in a seamless way. In our work, a series of interaction tools has been developed. Uniform brushing functionality is implemented to allow the user to perform data selection on both points and parallel coordinate polylines without explicitly switching tools. A GPU accelerated Dimensional Incremental Multidimensional Scaling (DIMDS) has been developed to significantly improve the system performance. Our case study shows that our scheme is more efficient than traditional multi-view methods in performing visual analysis tasks.}, author = {Johansson, Sara and Johansson, Jimmy}, citeulike-article-id = {5998148}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/TVCG.2009.179}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5290705}, day = {23}, doi = {10.1109/TVCG.2009.179}, journal = {Visualization and Computer Graphics, IEEE Transactions on}, keywords = {infovis, pcp, scatterplot, visualization}, month = {October}, number = {6}, pages = {1001--1008}, posted-at = {2009-10-23 16:43:27}, priority = {4}, title = {Scattering Points in Parallel Coordinates}, url = {http://dx.doi.org/10.1109/TVCG.2009.179}, volume = {15}, year = {2009} }

TY - JOUR ID - citeulike:5998148 L3 - citeulike-article-id:5998148 N2 - In this paper, we present a novel parallel coordinates design integrated with points (Scattering Points in Parallel Coordinates, SPPC), by taking advantage of both parallel coordinates and scatterplots. Different from most multiple views visualization frameworks involving parallel coordinates where each visualization type occupies an individual window, we convert two selected neighboring coordinate axes into a scatterplot directly. Multidimensional scaling is adopted to allow converting multiple axes into a single subplot. The transition between two visual types is designed in a seamless way. In our work, a series of interaction tools has been developed. Uniform brushing functionality is implemented to allow the user to perform data selection on both points and parallel coordinate polylines without explicitly switching tools. A GPU accelerated Dimensional Incremental Multidimensional Scaling (DIMDS) has been developed to significantly improve the system performance. Our case study shows that our scheme is more efficient than traditional multi-view methods in performing visual analysis tasks. IS - 6 JF - Visualization and Computer Graphics, IEEE Transactions on EP - 1008 TI - Scattering Points in Parallel Coordinates VL - 15 SP - 1001 KW - infovis KW - pcp KW - scatterplot KW - visualization AU - Johansson, Sara AU - Johansson, Jimmy PY - 2009/10/23/ UR - http://dx.doi.org/10.1109/TVCG.2009.179 ER -