ng 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 relationship between the anomly score and each feature for the
k nearest neighbours of a specific record.
(3) A bar chart, named "feature_importance", showing how sensitive is the anomaly score of a specific record to each of feature.
This may help to identify the features behind 