In the attached code we will use the Iris dataset, we will relabel two Setosa entries as Versicolor and check to see if the two Unsupervised learning models (K means clustering and Density based clustering method (DBSCAN)) will detect the mis-labelled entries. Please note we would never assume that any cases which are flagged from these models are anomalies without consulting with an expert in the field.
-
Notifications
You must be signed in to change notification settings - Fork 0
MCoffey1129/Anomaly-Detection
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Using K means clustering and density based clustering method (DBSCAN) to detect mis-labelled data in the Iris dataset
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published