"Applying Anomaly detection operators to categorical dataset"
I am trying to apply the anomaly detection operators to categorical datasets. The only preprocessing that I am doing to dataset is removing missing attributes and duplicates. Should I convert the categorical attributes to numerical before I apply the anomaly detection operators or should they be left as they are?
I am attempting to determine if there is an impact on classification results when outlier are removed.
Please let me know your opinion on this.