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jointly in a biplot where the projection of a row point onto a column point vector followed by a multiplication by the length … propose a new visualization: after a 90 degrees rotation of the row points, the areas spanned by a triangle of a row point, a … column point and the origin estimate the data values. In contrast to the projection biplot, the areas spanned by different …
Persistent link: https://www.econbiz.de/10005505007
Persistent link: https://www.econbiz.de/10003754028
Perceptual maps are often used in marketing to visually study relations between two or more attributes. However, in many perceptual maps published in the recent literature it remains unclear what is being shown and how the relations between the points in the map can be interpreted or even what a...
Persistent link: https://www.econbiz.de/10010837516
In order to interpret the biplot it is necessary to know which points – usually variables – are the ones that are … important contributors to the solution, and this information is available separately as part of the biplot’s numerical results …. We propose a new scaling of the display, called the contribution biplot, which incorporates this diagnostic directly into …
Persistent link: https://www.econbiz.de/10005002836
Perceptual maps are often used in marketing to visually study relations between two or more attributes. However, in many perceptual maps published in the recent literature it remains unclear what is being shown and how the relations between the points in the map can be interpreted or even what a...
Persistent link: https://www.econbiz.de/10008484107
-oriented axis-symmetric graph and show that CA outperforms standardized PCA for the reconstitution and visualization of such kind of …
Persistent link: https://www.econbiz.de/10010992994
Persistent link: https://www.econbiz.de/10010192345
interpretation of results, as well as for presentation of overall summaries of the data. The biplot is particularly useful for the … ordination techniques suitable for exploring microarray data, and we call these the GE-biplot, the Chip-plot and the Gene …
Persistent link: https://www.econbiz.de/10005046577
Biplots display interunit distances, as well as variances and correlations of variables of large datasets. They can be used as a tool to reveal clustering, multicollinearity, and multivariate outliers, and to guide the interpretation of principal component analyses (PCA). This article describes...
Persistent link: https://www.econbiz.de/10005568868
We construct a weighted Euclidean distance that approximates any distance or dissimilarity measure between individuals that is based on a rectangular cases-by-variables data matrix. In contrast to regular multidimensional scaling methods for dissimilarity data, the method leads to biplots of...
Persistent link: https://www.econbiz.de/10010849612