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fixed some spelling, tried to format in a more readable way
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Andy W
Andy W
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I'll try to compute differntdifferent similarity measures on some data.
The The result is always a similarity matrix on the data. 

I want to evaluate the quality of the matrix by checking if the values for positive and negative similarities have a wide spread so that one can set an threshold which is very general to all data.
Means Means, postive and negative similarities should not be close to each other. I have no way to check precision and recall because i'mI'm not in the postition to select threshold yet. I first want to check the optimal similarity measure.

Is there a standard procedure for such a task?

I'll try to compute differnt similarity measures on some data.
The result is always a similarity matrix on the data. I want to evaluate the quality of the matrix by checking if the values for positive and negative similarities have a wide spread so that one can set an threshold which is very general to all data.
Means, postive and negative similarities should not be close to each other. I have no way to check precision and recall because i'm not in the postition to select threshold yet. I first want to check the optimal similarity measure.

Is there a standard procedure for such a task?

I'll try to compute different similarity measures on some data. The result is always a similarity matrix on the data. 

I want to evaluate the quality of the matrix by checking if the values for positive and negative similarities have a wide spread so that one can set an threshold which is very general to all data. Means, postive and negative similarities should not be close to each other. I have no way to check precision and recall because I'm not in the postition to select threshold yet. I first want to check the optimal similarity measure.

Is there a standard procedure for such a task?

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added 7 characters in body; edited tags; edited title
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user88
user88

Quality Similarity Measure Assessing quality of similarity measure

i'llI'll try to compute differnt similarity measures on some data. The
The result is always a similarity matrix on the data. I want to evaluate the quality of the matrix by checking if the values for positive and negative similarities have a wide spread so that one can set an threshold which is very general to all data. Means
Means, postive and negative similarities should not be close to each other. I have no way to check precision and recall because i'm not in the postition to select threshold yet. I first want to check the optimal similarity measure.

Is there a standard procedure for such a task?

Quality Similarity Measure

i'll try to compute differnt similarity measures on some data. The result is always a similarity matrix on the data. I want to evaluate the quality of the matrix by checking if the values for positive and negative similarities have a wide spread so that one can set an threshold which is very general to all data. Means, postive and negative similarities should not be close to each other. I have no way to check precision and recall because i'm not in the postition to select threshold yet. I first want to check the optimal similarity measure.

Is there a standard procedure for such a task?

Assessing quality of similarity measure

I'll try to compute differnt similarity measures on some data.
The result is always a similarity matrix on the data. I want to evaluate the quality of the matrix by checking if the values for positive and negative similarities have a wide spread so that one can set an threshold which is very general to all data.
Means, postive and negative similarities should not be close to each other. I have no way to check precision and recall because i'm not in the postition to select threshold yet. I first want to check the optimal similarity measure.

Is there a standard procedure for such a task?

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Andreas
Andreas
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Quality Similarity Measure

i'll try to compute differnt similarity measures on some data. The result is always a similarity matrix on the data. I want to evaluate the quality of the matrix by checking if the values for positive and negative similarities have a wide spread so that one can set an threshold which is very general to all data. Means, postive and negative similarities should not be close to each other. I have no way to check precision and recall because i'm not in the postition to select threshold yet. I first want to check the optimal similarity measure.

Is there a standard procedure for such a task?