I used a Dimensionality Reduction method (discussion here: Random projection algorithm pseudo code) on a large dataset.
I have this array : array(2) { [1]=> array(4) { [\"name\"]=> string(14) \"Les Contenants\" [\"ordre\"]=>
I want to multiply a sparse matrix A, with a matrix B which has 0, -1, or 1 as elements. To reduce the complexity of the matrix multiplication, I can ignore items if they are 0, or go ahead and add th
I am trying to apply Random Projections method on a very sparse dataset. I found papers and tutorials about Johnson Lindenstrauss method, but every one of them is full of equations which makes no mean
I need to do some analysis on a large dataset from a hydrolgeology field work. I am using NumPy. I want to know how I can:
I have two arrays. In first array I have Type and Zone field names. These two field names have multiple values. I am using smarty. I want the select name from the first array and options for each drop
SQL: 开发者_开发问答SELECT uFName, uLName, listTitle, listPropPrice, listCmt, listDt, mFName, mLName, moAmt, moDtOff
How do I change this php: <?php $result = $sth->fetchAll(); print_r($result); //or var_dump($result); for more info
I have an array with value Array ( [und] => Array ( [0] => Array ( [value] => Drupal Development PHP
I have an array structure like so: Array ( [0] => Array ( [term_id] => 22 [name] => Aaa Aa [slug] => aaa-aa
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