when projecting a normalized data into a subspace, what is the correct way to detect anomalies when projecting a subspace on a t scale, the detection of anomalies is poor. how can i predict anomaly detection which of the following is the correct solution for unsupervised anomaly detection can you find anomalies with factor analysis what is fa data what is the purpose of a factor analysis? why are unsupervised anomalous observations better what is lx in r what is r's factor analysis what is unsupervised anomaly detection what is the difference between lx and lxx? does factanal have better classification can you detect anomalies in r what is r's factanal r what is factanal why does an lx model show fewer anomalies? what is the definition of factor analysis and unsupervised anomaly detection which method yields the better correlation classification how is anomaly classification