After data preprocessing, Edge AI Lab generates a cosine distance distribution plot for anomaly detection solutions. Each point on the plot represents a training data sample.
- Points closer to the center have a smaller cosine distance and are more similar to one another.
- Points farther from the center indicate samples that differ more from the rest of the dataset.
This visualization helps you understand the internal structure and variability of your normal data. The plot is available for newly created anomaly detection solutions.