[BUG] Incorrect use of np.min in function histogram_intersection

[TonyBagnall]

Describe the bug

found when writing coverage testing, calls to histogram_intersection in TemporalDictionaryEnsemble throw an error due to the use of np.min instead of np.minimum, probably some numpy change some time back

Steps/Code to reproduce the bug

import numpy as np
from aeon.classification.dictionary_based._tde import histogram_intersection
first = np.array([1,0,0,1,0])
second = np.array([1,2,3,5,10])
histogram_intersection(first,second)

Expected results

expected value is 2.

Actual results

    histogram_intersection(first,second)
  File "C:\Code\aeon\aeon\classification\dictionary_based\_tde.py", line 1023, in histogram_intersection
    [
  File "C:\Code\aeon\aeon\classification\dictionary_based\_tde.py", line 1024, in <listcomp>
    0 if first[n] == 0 else np.min(first[n], second[n])
  File "C:\Code\aeon\venv\lib\site-packages\numpy\core\fromnumeric.py", line 2953, in min
    return _wrapreduction(a, np.minimum, 'min', axis, None, out,
  File "C:\Code\aeon\venv\lib\site-packages\numpy\core\fromnumeric.py", line 86, in _wrapreduction
    return reduction(axis=axis, out=out, **passkwargs)
  File "C:\Code\aeon\venv\lib\site-packages\numpy\core\_methods.py", line 45, in _amin
    return umr_minimum(a, axis, None, out, keepdims, initial, where)
numpy.exceptions.AxisError: axis 1 is out of bounds for array of dimension 0

Versions

No response

[TonyBagnall]

also an issue with the ordinal version