I have a small numerical dataset to perform anomalies detection. My data contains 177 events and I have imputed 3 records to check anomalies using Splunk and R. I applied LOF algo. in R and find out all 3 events. In splunk, I applied anomalies command and generated unexpectedness score for each event and sorted in decreasing order. I found normal events as anomalous and imputed event comes into 6 place. Even all event found as with very less unexpectedness score.
I am just curious to know whether Splunk perform well with machine learning commands such as anomalies, outliers, cluster etc. one more query i have whether splunk work well with numerical data which contains timpstamp.
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