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您的检索式：作者名="Filzmoser Peter"
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| 1 | Correlation Analysis for Compositional Data显示文摘 | Peter Filzmoser Karel Hron | 2009 | Mathematical Geosciences2009，，8： | 1 |
| 2 | Sequential Factor Analysis as a new approach to multivariate analysis of heterogeneous geochemical datasets: An application to a bulk chemical characterization of fluvial deposits (Rhine–Meuse delta, The Netherlands)显示文摘 | Pieter-Jan van Helvoort Peter Filzmoser Pauline F.M. van Gaans | 2005 | Applied Geochemistry2005，，12： | 1 |
| 3 | Multivariate outlier detection in exploration geochemistry 显示文摘 | Filzmoser Peter Garret Robert G Reimann Clemens | 2005 | Computers&Geosciences2005，31，： | 1 |
| 4 | TBSSvis:Visual analytics for Temporal Blind Source Separation显示文摘Temporal Blind Source Separation(TBSS)is used to obtain the true underlying processes from noisy temporal multivariate data,such as electrocardiograms.TBSS has similarities to Principal Component Analysis(PCA)as it separates the input data into univariate components and is applicable to suitable datasets from various domains,such as medicine,finance,or civil engineering.Despite TBSS’s broad applicability,the involved tasks are not well supported in current tools,which offer only text-based interactions and single static images.Analysts are limited in analyzing and comparing obtained results,which consist of diverse data such as matrices and sets of time series.Additionally,parameter settings have a big impact on separation performance,but as a consequence of improper tooling,analysts currently do not consider the whole parameter space.We propose to solve these problems by applying visual analytics(VA)principles.Our primary contribution is a design study for TBSS,which so far has not been explored by the visualization community.We developed a task abstraction and visualization design in a user-centered design process.Task-specific assembling of well-established visualization techniques and algorithms to gain insights in the TBSS processes is our secondary contribution.We present TBSSvis,an interactive web-based VA prototype,which we evaluated extensively in two interviews with five TBSS experts.Feedback and observations from these interviews show that TBSSvis supports the actual workflow and combination of interactive visualizations that facilitate the tasks involved in analyzing TBSS results. | Nikolaus Piccolotto Markus Bögl Theresia Gschwandtner Christoph Muehlmann Klaus Nordhausen Peter Filzmoser Silvia Miksch | 2022 | Visual Informatics2022，6，4： | 0 |
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