Parallel coordinate plots for neighbor retrieval

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

5 Sitaatiot (Scopus)

Abstrakti

Parallel Coordinate Plots (PCPs) are a prominent approach to visualize the full feature set of high-dimensional vectorial data, either standalone or complementing other visualizations like scatter plots. Optimization of PCPs has concentrated on ordering and positioning of the coordinate axes based on various statistical criteria. We introduce a new method to construct PCPs that are directly optimized to support a common data analysis task: analyzing neighborhood relationships of data items within each coordinate axis and across the axes. We optimize PCPs on 1D lines or 2D planes for accurate viewing of neighborhood relationships among data items, measured as an information retrieval task. Both the similarity measurement between axes and the axis positions are directly optimized for accurate neighbor retrieval. The resulting method, called Parallel Coordinate Plots for Neighbor Retrieval (PCP-NR), achieves better information retrieval performance than traditional PCPs in experiments.

AlkuperäiskieliEnglanti
OtsikkoProceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Sivut40-51
Sivumäärä12
Vuosikerta3
ISBN (elektroninen)9789897582288
TilaJulkaistu - 1 tammikuuta 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Porto, Portugali
Kesto: 27 helmikuuta 20171 maaliskuuta 2017
Konferenssinumero: 12

Conference

ConferenceInternational Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
LyhennettäVISIGRAPP
MaaPortugali
KaupunkiPorto
Ajanjakso27/02/201701/03/2017

Sormenjälki Sukella tutkimusaiheisiin 'Parallel coordinate plots for neighbor retrieval'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä