return the row and column of values in a matrix as a single row vector stored in a separate matrix

Hello I have a matrix which I am trying to get the row and column numbers of all values less than 12 in my matrix. I wish to report the row and column numbers of these values as row vectors in separate matrix. So if there is for example there are values that are less than 12 in column 1, row 8 and column 7, row 10 the new matrix would return [1,8;7,10] as its output. The matrix is a symmetric but I only want to do this operation once. I thought of using the upper/lower triangular functions but cannot get my code to ignore the zeros created. Here is the matrix, and thanks for the help.

dist =[NaN	85.8544486266491	94.5151677942934	84.1782439253405	17.8172020987057	86.3318817662466	56.4534611403202	9.03707029380989	51.3456941513557	52.2857876119250
85.8544486266491	NaN	79.0353928689858	62.0983170822968	77.1797933197697	32.0622075437335	29.5507098991569	76.8640139209117	83.7144751456574	34.8061214520901
94.5151677942934	79.0353928689858	NaN	17.2466729715489	76.7467667964011	47.8347591119159	76.6169258553102	89.9428994987178	48.5820092445235	67.3582907248757
84.1782439253405	62.0983170822968	17.2466729715489	NaN	66.9115564731238	31.6800747059846	59.8703139525770	78.4617673106198	45.1634638384781	51.0402083233503
17.8172020987057	77.1797933197697	76.7467667964011	66.9115564731238	NaN	72.2645230957107	49.3715332656335	15.5938323753242	34.3966568539729	42.3815369400674
86.3318817662466	32.0622075437335	47.8347591119159	31.6800747059846	72.2645230957107	NaN	41.5804206339793	78.3848323204859	65.0586469011314	37.5743882661704
56.4534611403202	29.5507098991569	76.6169258553102	59.8703139525770	49.3715332656335	41.5804206339793	NaN	47.4317660338053	63.9187067786962	10.6220215007049
9.03707029380989	76.8640139209117	89.9428994987178	78.4617673106198	15.5938323753242	78.3848323204859	47.4317660338053	NaN	49.8756657320235	43.5443138597632
51.3456941513557	83.7144751456574	48.5820092445235	45.1634638384781	34.3966568539729	65.0586469011314	63.9187067786962	49.8756657320235	NaN	53.5657010496614
52.2857876119250	34.8061214520901	67.3582907248757	51.0402083233503	42.3815369400674	37.5743882661704	10.6220215007049	43.5443138597632	53.5657010496614	NaN];

Answer 1

[JESUS DAVID ARIZA ROYETH]

solution:

m=tril(dist);
m(m==0)=nan;
[x,y]=find(m<12);
returnn=[x,y]

[Vance Blake]

thank you so much. worked perfectly