derstand the anomaly score locally around a specific data point.
We believe this should help people to trust scores a made by models even if they don’t fully understand them.
Today, 5 visualisazions are implemented;
(1) A hierarchical clustering, named "cluster", showing among the top n-anomaly which records belongs to the same cluster
a specific record. Finding the commun pattern amoung the cluster may lead to the orign of of the specifi record score.
(2) A dots plot, named "neighbours", showing the rela