KNIME Essentials

Tips for HiLiting

HiLiting gives great tools for various tasks: outlier detection, manual row selection, and visualization of a custom subset.

Using Interactive HiLite Collector

First, let's assume you want to label the different outlier categories. In case of an iris dataset, the outlier categories should be the high sepal length, high sepal width, high petal length, high petal width, and their lower counterparts. You can also select the outliers by different classes (iris-setosa, iris-versicolor, and iris-virginica) for each column (in both extreme directions), which gives possible options. Quite a lot, but you will need only four views to compute ...