To further categorize the topics into smaller groups, we computed the Jensen-Shannon Divergence (similarity between topic probability distributions) between topics and then used multidimensional scaling to represent the inter-topic distances (Sievert and Shirley, 2014). The results are shown in Fig. 1...
We use Jensen-Shannon divergence to measure the difference between the frequency distributions of the first n and the last n words by two users (n = 3). 5.2 Classification Models In this section, we propose two models for the pairwise classification phase. In Model 1, a support vector ...
We can specialise this inequality to the case when a uniform random variable on a finite range of some cardinality , in which case the Kullback-Leibler divergence simplifies to where is the Shannon entropy of . Again, a routine application of Jensen’s inequality shows that , with equality...
Let’s call an Euler flow on (for the time interval ) if it solves the above system of equations for some pressure , and an incompressible flow if it just obeys the divergence-free relation . Thus every Euler flow is an incompressible flow, but the converse is certainly not true; for ...