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Bookmark or Share- clustering - Why does larger perplexity tend to produce clearer ...The larger the perplexity, the more non-local information will be retained in the dimensionality reduction result. Yes, I believe that this is a correct intuition. The way I think about perplexity parameter in t-SNE is that it sets the effective number of neighbours that each point is attracted to.
- intuition - What is perplexity? - Cross ValidatedSo perplexity represents the number of sides of a fair die that when rolled, produces a sequence with the same entropy as your given probability distribution. Number of States OK, so now that we have an intuitive definition of perplexity, let's take a quick look at how it is affected by the number of states in a model.
- Perplexity calculation in variational neural topic modelsSince $\log p(X)$ is intractable in the NVDM, we use the variational lower bound (which is an upper bound on perplexity) to compute the perplexity following Mnih & Gregor (2014).
- text mining - How to calculate perplexity of a holdout with Latent ...Perplexity is seen as a good measure of performance for LDA. The idea is that you keep a holdout sample, train your LDA on the rest of the data, then calculate the perplexity of the holdout. The perplexity could be given by the formula:
- autoencoders - Codebook Perplexity in VQ-VAE - Cross ValidatedWhen calculating perplexity, we are effectively calculating the codebook utilization. In the example above, if you change the low and high to a narrow range, then out of the 1024 codebook entries that we could have picked/predicted by our model, we only ended up picking a small range.
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