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**TOOLS>SIMILARITIES **

**PURPOSE **Compute similarities among rows or columns of a matrix using one of various measures.

**DESCRIPTION **Given a matrix with n rows and m columns, the program computes either an n-by-n matrix of similarities among the rows, or an m-by-m matrix of similarities among the columns.

**PARAMETERS**

* ***Input dataset:**

Name of file containing matrix to be analyzed. Data type: Matrix.

* ***Measure of profile similarity**: (Default = CORRELATION)

Choices are:

**Correlation** - Pearson's product-moment correlation.

**Covariance** - Mean-centered cross products: Sxy/n - SxSy/n^2

**Cross-Products** - Sum of products: Sxy

**Matches** - Proportion of cases in which xi = yi for all i

**Positive Matches** - Proportion of cases in which xi = yi given that either xi > 0 or yi > 0 or both

** Compute similarities among Rows or Cols:** (Default = COLUMNS)

If **Rows**, an n-by-n similarity matrix representing the similarity between each pair of rows is computed. If **Columns**, an m-by-m similarity matrix is computed representing the similarity between each pair of columns.

* ***(For sq. mats) Diagonal valid*** *(Default = YES)

If No, values along the main diagonal are treated as though they were missing.

* ***Output dataset***: *(Default = 'Similarities')

Name of dataset to contain output similarity matrix.

**LOG FILE **Similarity matrix, displayed with 2 decimal places.

**TIMING **O(N^3).

**COMMENTS **Missing values are ignored.

**REFERENCES **None.