If you don't have labeled datalabeled data (telling whether it belongs to class "normal" or "anamoly"), you will have to use a cluster analysis - for grouping the objects.
Logistic regression is a supervised learning algorithm and requires you to have data that has classes. Same goes for decision trees.
Look at this with respect to validating unsupervised machine learning algorithms.
