using particle filters

 1 1 Suppose we want to cluster a data stream of unknown number of clusters, and estimate them using particle filters. With particle filters, we need to know P(Xt | Xt−1) and P(Zt | Xt) (where z refer to the data (reports), and x refer to the estimated states (hypothesis)). Then my question is: how can we define P(Xt | Xt−1) (transition probability) and P(Zt | Xt) (observation/likelihood probability) in this context ? asked 21 May '12, 11:36 ShN 41●2●11 EllenL, it's strange, I don't see how to create a new question on the forum you provided (reddit.com) ! Even stranger is that I don't see that comment anywhere here, although an email arrived saying you posted it. And on reddit.com/r/aiclass your question is #1 but it's just a link back to here. Most mysterious. (30 May '12, 15:52) EllenL IIRC reddit is different from Aiqus in that the headline is an external link and the reddit comment thread for the link is accessed by clicking on comment just below the headline. (30 May '12, 23:47) rseiter ♦ @EllenL I deleted the comment after I understood that reddit was just a list of links to other forums that you can post, it's not a forum. (31 May '12, 12:06) ShN

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