updates DESCRIPTION.rst to sync with README.md

DESCRIPTION.rst

@@ -30,6 +30,7 @@ Feature Visualization
 - **Parallel Coordinates**: horizontal visualization of instances
 - **Radial Visualization**: separation of instances around a circular plot
 - **PCA Projection**: projection of instances based on principal components
+- **Manifold Visualization**: high dimensional visualization with manifold learning
 - **Feature Importances**: rank features based on their in-model performance
 - **Recursive Feature Elimination**: find the best subset of features by importance
 - **Scatter and Joint Plots**: direct data visualization with feature selection
@@ -67,7 +68,7 @@ Text Visualization
 ~~~~~~~~~~~~~~~~~~
 
 - **Term Frequency**: visualize the frequency distribution of terms in the corpus
-- **TSNE**: use stochastic neighbor embedding to project documents.
+- **t-SNE Corpus Visualization**: use stochastic neighbor embedding to project documents.
 
 ... and more! Visualizers are being added all the time; be sure to check the examples_ (or even the develop_ branch) and feel free to contribute your ideas for new Visualizers!