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How do I evaluate a K-Means unsupervised anomaly detection approach?

how do I evaluate K-means clustering anomaly detection method as there is no labelled data of anomaly class. To find the cluster (K), I have used the silhouette score from Scikit learn library. Scikit ...
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1 answer
2k views

How to evaluate unsupervised Anomaly Detection using k-means

I'm trying out different anomaly detection models and would love to hear opinion on my idea from somebody experienced. My goal is to perform anomaly detection with different models and to give each ...
1 vote
1 answer
743 views

Anomaly detection on high dimensional Data using k means/SVM/LOF? [closed]

I am working on one Anomaly detection problem (unsupervise problem) Data set have 1) 15 columns and around 8k rows , including normal and abnormal(outlier ) rows, without label , all are numeric ...
1 vote
1 answer
1k views

Threshold for kmeans anomaly detection

I'm learning the kmeans to find out anomaly from the dataset. but I don't know how to set threshold. I tried by the putting mean of the centroid to point distance but it's not working, half my record ...