Citation formatting

Author: lmcinnes

paper/paper.md

@@ -24,13 +24,13 @@ bibliography: paper.bib
 # Summary
 
 HDBSCAN: Hierarchical Density-Based Spatial Clustering of Applications with Noise 
-\cite{campello2013density}, \cite{campello2015hierarchical}. 
+[@campello2013density], [@campello2015hierarchical]. 
 Performs DBSCAN over varying epsilon values and integrates the result to find a 
 clustering that gives the best stability over epsilon. This allows HDBSCAN to 
 find clusters of varying densities (unlike DBSCAN), and be more robust to parameter 
 selection. The library also includes support for Robust Single Linkage clustering
-\cite{chaudhuri2014consistent}, \cite{chaudhuri2010rates},
-GLOSH outlier detection\cite{campello2015hierarchical}, and tools for visualizing 
+[@chaudhuri2014consistent], [@chaudhuri2010rates],
+GLOSH outlier detection[@campello2015hierarchical], and tools for visualizing 
 and exploring cluster structures.
 Finally support for prediction and soft clustering is also available.