我正在尝试对距离矩阵（由大约1700点之间的距离组成，所有范围在0.0和1.0之间，包括在内）进行因子分析。我是一个FA新手。
无论如何，这段代码：
fan=mdp.nodes.FANode()
far=fan.execute(a)
# a is a numpy.array, size 1780x1780
给我：
Traceback (most recent call last):
File "<pyshell#29>", line 1, in <module>
far=fan.execute(a)
File "/usr/lib/pymodules/python2.7/mdp/signal_node.py", line 575, in execute
self._pre_execution_checks(x)
File "/usr/lib/pymodules/python2.7/mdp/signal_node.py", line 451, in _pre_execution_checks
self._if_training_stop_training()
File "/usr/lib/pymodules/python2.7/mdp/signal_node.py", line 431, in _if_training_stop_training
self.stop_training()
File "/usr/lib/pymodules/python2.7/mdp/signal_node.py", line 556, in stop_training
self._train_seq[self._train_phase][1](*args, **kwargs)
File "/usr/lib/pymodules/python2.7/mdp/nodes/em_nodes.py", line 93, in _stop_training
A = normal(0., sqrt(scale/k), size=(d, k)).astype(typ)
File "mtrand.pyx", line 1279, in mtrand.RandomState.normal (numpy/random/mtrand/mtrand.c:6943)
ValueError: scale <= 0
我尝试用0.00001替换0值，但无济于事。知道这可能意味着什么吗？