Progressive Multidimensional Projections : A Process Model based on Vector Quantization
| Popis souboru: | application/pdf |
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| Jazyk: | English |
| Přístupová URL adresa: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c01d4861fac218af07813d2f0e4b1301 http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19461 |
| Rights: | OPEN |
| Přírůstkové číslo: | edsair.doi.dedup.....c01d4861fac218af07813d2f0e4b1301 |
| Autor: | Ventocilla, Elio Alejandro, Martins, Rafael M., Paulovich, Fernando V., Riveiro, Maria |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Popis: | As large datasets become more common, so becomes the necessity for exploratory approaches that allow iterative, trial-anderror analysis. Without such solutions, hypothesis testing and exploratory data analysis may become cumbersome due to long waiting times for feedback from computationally-intensive algorithms. This work presents a process model for progressive multidimensional projections (P-MDPs) that enables early feedback and user involvement in the process, complementing previous work by providing a lower level of abstraction and describing the specific elements that can be used to provide early system feedback, and those which can be enabled for user interaction. Additionally, we outline a set of design constraints that must be taken into account to ensure the usability of a solution regarding feedback time, visual cluttering, and the interactivity of the view. To address these constraints, we propose the use of incremental vector quantization (iVQ) as a core step within the process. To illustrate the feasibility of the model, and the usefulness of the proposed iVQ-based solution, we present a prototype that demonstrates how the different usability constraints can be accounted for, regardless of the size of a dataset. Machine Learning Methods in Visualisation for Big Data Papers 1 5 Elio Alejandro Ventocilla, Rafael M. Martins, Fernando V. Paulovich, and Maria Riveiro CCS Concepts: Human-centered computing --> Visual analytics |
| Databáze: | OpenAIRE |
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