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What are some standard ways of computing the distance between documents?

In general, the results you get from LDA are better for modeling document similarity than LSA, but not quite as good for learning how to discriminate strongly between topics. … Once you have the vector, any other similarity metric (like cosine distance) can be used on top of it with significantly more efficacy. doc2vec - Also known as paragraph vectors, this is the latest and …
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10 votes

Clustering based on similarity scores

Both methods are indifferent to whether the metrics used are similarity or distance (FLAME in particular is nearly identical in both constructions). …
indico's user avatar
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