Class FuzzyCluster

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Instance Methods

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__init__(self, data, n_cluster, weight, seedx=0, seedy=0)

calc_membership_matrix(self, d2)

calc_cluster_center(self, msm)

updateDistanceMatrix(self)

array, array, array iterate(self, centers)
Returns distance to the centers, membership matrix, array of cenetrs

float error(self, msm, d2)
Returns weighted error

array('f') create_membership_matrix(self)
Create a random membership matrix.

array('f') go(self, errorthreshold, n_iterations=1e10, nstep=10, verbose=1)
Start the cluestering.

clusterEntropy(self)

entropy(self)

nonFuzzyIndex(self)

clusterPartitionCoefficient(self)

partitionCoefficient(self)

getMembershipMatrix(self)

getClusterCenter(self)

entropySD(self)

standardDeviation(self)

Method Details

[hide private]

init(self, data, n_cluster, weight, seedx=0, seedy=0)
(Constructor)

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Parameters:

data ([float] OR array) - cluster this
n_cluster (int) - number of clusters
weight (float) - fuzziness weigth
seedx (int OR 0) - random seed value for RandomArray.seed (default: 0)
seedy (int OR 0) - random seed value for RandomArray.seed (default: 0, set seed from clock)

calc_membership_matrix(self, d2)

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calc_cluster_center(self, msm)

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updateDistanceMatrix(self)

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iterate(self, centers)

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Parameters:

centers (array('f')) - array with cluster centers

Returns: array, array, array: distance to the centers, membership matrix, array of cenetrs

error(self, msm, d2)

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Parameters:

msm (array('f')) - membership matrix
d2 (array('f')) - distance from data to the centers

Returns: float: weighted error

create_membership_matrix(self)

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Create a random membership matrix.

Returns: array('f'): random array of shape length of data to cluster times number of clusters

go(self, errorthreshold, n_iterations=1e10, nstep=10, verbose=1)

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Start the cluestering. Run until the error is below the error treshold or the max number of iterations have been run.

Parameters:

errorthreshold (float) - treshold value for error
n_iterations (int) - treshold value for number of iterations (default: 1e10)
nstep (int) - print information for every n'th step in the iteration