Solution: Analyzing Clusters
Explore the process of analyzing clusters using H2O's K-Means algorithm. Learn to select relevant features, train and configure the model, assign cluster labels, and visualize differences among driver segments with box plots for better interpretability.
We'll cover the following...
We'll cover the following...
Analyzing driver segments
A good clustering model is highly explainable, and the key differentiators make sense to the end users. In our last challenge, the task was to implement the H2OKMeansEstimator algorithm and generate a box plot of the clusters with respect to the input features. ...