[SPARK-4611][MLlib] Implement the efficient vector norm

The vector norm in breeze is implemented by `activeIterator` which is known to be very slow. 
In this PR, an efficient vector norm is implemented, and with this API, `Normalizer` and 
`k-means` have big performance improvement.

Here is the benchmark against mnist8m dataset.

a) `Normalizer`
Before
DenseVector: 68.25secs
SparseVector: 17.01secs

With this PR
DenseVector: 12.71secs
SparseVector: 2.73secs

b) `k-means`
Before
DenseVector: 83.46secs
SparseVector: 61.60secs

With this PR
DenseVector: 70.04secs
SparseVector: 59.05secs

Oh OK, didn't mean to make you spend so much time investigating. It is not optimized I imagine but may be inconsequential even in a tight loop.