This component trains the data using k-Means clustering which is an unsupervised machine learning model and further performs dimension reduction to two features using PCA.
This component consists of one configuration node- Integer Configuration Node which is a hypoparameter and takes in the value of the number of clusters required. In this project, we use datasets with at least two columns and of type Double with values between 0 and 1.
For visualization, we see the color-coded data points on a Scatter Plot.
- Type: Table