This node maps data of a high dimensional space onto a lower (usually 2 or 3) dimensional space with respect to a set of fixed data points. Therefore modified Sammons mapping is applied, which iteratively decreases the difference of the distances of high and low dimensional data. When adjusting the position a low dimensional data point by default not its neighbors (or all other data points) are taken into account but a specified set of fixed data points which are not modified. Additionally the data points (and not only the fixed points) can be taken into account when adjusting its positions, therefore the setting "Project only" has to be unchecked. If the setting is checked the data points will be mapped only with respect to the fixed data, which we call a projection. The algorithm converges like a common mds algorithm due to a decreasing learning rate.
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