In practice, the efficiency penalty of the algorithm is small compared with the single-link algorithm since computing the similarity between two documents (e.g., as a dot product) is an order of magnitude slower than comparing two scalars in sorting.
Now, we may use cosine similarities as in Section 6.3.1 (page ) to compute the similarity between a query and a document, between two documents, or between two terms.
Currently, a hyperlink between two "documents" states that there is some unspecified relation between them.
To the Editor: The purpose of this letter is to reconcile a discrepancy between two documents issued by the American College of Medical Genetics: the Technical Standards and Guidelines for Fragile X testing published in 2001 1 and updated in 2005 2 and the Genetics Practice Guidelines statement on diagnostic and carrier testing for Fragile X syndrome published in 2005.
For example, consider that we want to compute a similarity score between two documents, t and d.
The aim of this work is to use this representation to compute a similarity measure between two documents.
High dimensionality is not a problem for computing the distance between two documents.
At issue is what the league knew and when, and, ultimately, what responsibility it has to its players, with a likely focus on the difference between two documents that were distributed in locker rooms as safety guidelines.
Therefore, we proposed an algorithm based on computing similarity between two documents and decision, which one will appertain to the domain and one which will not, using a threshold value calculated automatically on a development data set.
Last, a normalization can be performed to quantify the similarity between two documents in terms of the cosine similarity of their vector representation.
