In this paper we propose a novel subspace clustering approach for data streams, allowing the user a visual tracking of the data stream behavior. The approach detects the variables impact on the stream evolution. The subspace clustering steps are visualized on real time. First we apply a clustering on the variables set to obtain subspaces. Then we cluster the elements within each subspace.