HospitalX

This node allows columns to be filtered from the input table while only the remaining columns are passed to the output table. Within the dialog, columns can be moved between the Include and Exclude list.

This node outputs the cluster centers for a predefined number of clusters (no dynamic number of clusters). K-means performs a crisp clustering that assigns a data vector to exactly one cluster. The algorithm terminates when the cluster assignments do

The node filters an input table according to the given filter criteria. Each criterion can target the row number, RowID, or cell value of a row. Multiple criteria can be combined (similar to boolean logic via AND and OR) to specify the overall filter

Deprecated: Use the Color Palette Designer or Color Gradient Designer nodes instead, which cover the functionality of this node.Colors can be assigned for either nominal (possible values have to be available) or numeric columns (with lower and uppe

Assigns (different) shapes for each attribute value of one nominal column, i.e. for each possible value. Supporting views then render datapoints with the shape associated with the corresponding attribute value. If there is for example a dataset with

Creates a scatterplot of two selectable attributes. Then each datapoint is displayed as a dot at its corresponding place, dependent on it's values of the selected attributes. The dots are displayed in the color defined by the Color Manager, the size

This node assigns new data to an existing set of prototypes, which are obtained e.g. by a k-means clustering. Each data point is assigned to its nearest prototype.

This node writes the input data table into a spreadsheet of an Excel file, which can then be read with other applications such as Microsoft Excel. The node can create completely new files or append data to an existing Excel file. When appending, the