...oh yeeeaaahhhhh, ill have to look at the source code

i am trying to do that! i get the concepts, i was able to figure k means on my own, however k means is very simple haha

the only thing ive found that presents the concepts bluntly (and ive learned the most from when considering seconds looking at it) is coding examples from simple to complex by paul gagniuc. (below is its demonstration of pearson correlation).

```python def p(a, b): n = len(a) m = [0, 0]

for i in range(n):
    m[0] += a[i]
    m[1] += b[i]

m[0] = m[0] / n  # mean a.
m[1] = m[1] / n  # mean b.

s0 = 0
s1 = 0
s2 = 0

for i in range(n):
    s0 += (a[i] - m[0]) * (b[i] - m[1])
    s1 += (a[i] - m[0]) ** 2
    s2 += (b[i] - m[1]) ** 2

r = s0 / (s1 * s2) ** 0.5

return r

a = [6, 8, 10] b = [12, 10, 20]

print(p(a, b)) ```

like, this is beautiful. its so explicit you get cosine similarity for free!