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# from collections import Counter, OrderedDict |
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# import attr |
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# @attr.s |
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# class Grouping: |
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# """A Cluster is basically a group of objects""" |
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# members = attr.ib(init=True, converter=tuple) |
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# def __str__(self): |
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# return f'len {len(self.members)}' |
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# def __len__(self): |
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# return len(list(self.members)) |
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# def __iter__(self): |
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# return iter(self.members) |
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# def gen_members(self, **kwargs): |
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# """ |
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# Accepts 'sort' True/False and 'reverse': True/False |
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# """ |
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# return iter({True: sorted, False: self.__pass}[kwargs.pop('sort', False)](self.members, **kwargs)) |
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# def __pass(self, x, **kwargs): |
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# return x |
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# @attr.s |
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# class BaseCluster(Grouping): |
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# """ |
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# An instance of this class encapsuates the behaviour of a single (one group) cluster estimated on some data. The object contains |
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# essentially a "list" of objects |
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# """ |
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# def alphabetical(self): |
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# return self.gen_members(sort=True) |
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# def _is_coordinate_value(self, attribute, value): |
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# if value < 0: |
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# raise ValueError("Expected the input coordinate to be a positive number.") |
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# if int(value) != value: |
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# raise ValueError(f"Expected the input coordinate to be an integer number; instead {value} was given. Expected an integer for the coordinates. Self-organising map clusters the datapoints by putting the into distrete points on the x-y latice. These points have rounded/integer coordinates") |
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# @attr.s |
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# class PositiveIntegerCoordinates: |
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# """A base class to encapsulate objects behaving as 2D (x, y) coordinates |
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# Args: |
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# x (number): equal to the distance from the vertical axis at x=0 |
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# y (number): equal to the distance from the horizontal axis at y=0 |
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# """ |
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# x = attr.ib(init=True, validator=_is_coordinate_value) |
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# y = attr.ib(init=True, validator=_is_coordinate_value) |
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# @staticmethod |
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# def from_duo(two_element_list_like): |
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# return SomClusterMemberCoordinates(*list(iter(two_element_list_like))) |
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# @attr.s |
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# class SOMCluster(BaseCluster): |
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# """ |
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# An instance of this class encapsulates the behaviour of a clustering computed on a self-organizing map. A cluster computed on |
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# a trained SOM, is located on a neuron |
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# is located on one of the neurons (bmus) |
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# """ |
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# # coordinates = attr.ib(init=True, converter=Coordinates.from_duo) |
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# id = attr.ib(init=True, default=None) |
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boromir674 /
so-magic
