Update README.md

Author: alinazare

README.md

@@ -2,31 +2,30 @@
 Matlab implementation of the Bayesian Fuzzy Clustering algorithms.  See related paper, doi: 10.1109/TFUZZ.2014.2370676
 
 ***
-NOTE: If Bayesian Fuzzy Clustering is used in any publication or presentation, the following reference must be cited:
-
-Glenn, T.; Zare, A.; Gader, P., "Bayesian Fuzzy Clustering," IEEE Transactions on Fuzzy Systems, vol.23, no.5, pp.1545-1561
-doi: 10.1109/TFUZZ.2014.2370676
+NOTE: If Bayesian Fuzzy Clustering is used in any publication or presentation, the following reference must be cited:  
+<b>Glenn, T.; Zare, A.; Gader, P., "Bayesian Fuzzy Clustering," IEEE Transactions on Fuzzy Systems, vol.23, no.5, pp.1545-1561
+doi: 10.1109/TFUZZ.2014.2370676</b>
 ***
 
-requirements:
- This code uses the excellent Lightspeed and Fastfit toolboxes by Tom Minka:
-   Lightspeed toolbox - http://research.microsoft.com/en-us/um/people/minka/software/lightspeed/
-   Fastfit toolbox - http://research.microsoft.com/en-us/um/people/minka/software/fastfit/
+Requirements:  
+ This code uses the excellent Lightspeed and Fastfit toolboxes by Tom Minka:  
+   Lightspeed toolbox - http://research.microsoft.com/en-us/um/people/minka/software/lightspeed/  
+   Fastfit toolbox - http://research.microsoft.com/en-us/um/people/minka/software/fastfit/  
 
- This code also uses the Matlab Fuzzy Logic Toolbox for its fcm implementation
+ This code also uses the Matlab Fuzzy Logic Toolbox for its fcm implementation  
 
-contents:
+Contents:  
 
-bfc/  % code for Bayesian Fuzzy Clustering MCMC sampler
-|- bfc_params.m   % generate default parameters structure
-|- bfc_sampler.m  % bayesian fuzzy clustering sampler
-|- test.m         % test script - run this
+bfc/  % code for Bayesian Fuzzy Clustering MCMC sampler  
+|- bfc_params.m   % generate default parameters structure  
+|- bfc_sampler.m  % bayesian fuzzy clustering sampler  
+|- test.m         % test script - run this  
 
-ibfc/ % code for Infinite Bayesian Fuzzy Clustering particle filter
-|- ibfc_pf_params.m % generate defaults parameters structure
-|- ibfc_pf.m        % IBFC particle filter
-|- u_update_ibfc.m  % membership update function
-|- c_update_ibfc.m  % cluster prototype update function
-|- ll_ibfc.m        % ibfc log-likelihood evaluation function
-|- test.m           % test script - run this
+ibfc/ % code for Infinite Bayesian Fuzzy Clustering particle filter  
+|- ibfc_pf_params.m % generate defaults parameters structure  
+|- ibfc_pf.m        % IBFC particle filter  
+|- u_update_ibfc.m  % membership update function  
+|- c_update_ibfc.m  % cluster prototype update function  
+|- ll_ibfc.m        % ibfc log-likelihood evaluation function  
+|- test.m           % test script - run this