Can mean-shift clustering algorithm be used for text clustering?

Mean Shift clustering is an Unsupervised learning that assigns the data points to the clusters iteratively by shifting points towards the mode (mode is the highest density of data points in the region, in the context of the Meanshift).

Q1. When mean shift clustering is preferred over K means and other methods like DBscan?

Q2. For what type of data mean clustering gives best result?

Q3. Can Mean Shift clustering be used for text classification/clustering problems?