I have dataset of 50000 values (rows) and 1000 variables (columns). Since this is high dimensional, I am unable to work with just DBSCAN.So I am trying to use PCA (principle component analysis). Since PCA reduces dimension to few 100's. I request you to help you to help me with EITHER 1. Other high dimensional clustering algorithm  2. How to interpret results of PCA
How to Interpret the output of PCA?
clustering;dimensionality reduction;pca;dbscan