__init__ (num_means, distance[, repeats, ...]) |
param num_means: |
| the number of means to use (may use fewer) |
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classification_probdist (vector) |
Classifies the token into a cluster, returning a probability distribution over the cluster identifiers. |
classify (vector) |
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classify_vectorspace (vector) |
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cluster (vectors[, assign_clusters, trace]) |
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cluster_name (index) |
Returns the names of the cluster at index. |
cluster_names () |
Returns the names of the clusters. |
cluster_vectorspace (vectors[, trace]) |
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likelihood (vector, label) |
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likelihood_vectorspace (vector, cluster) |
Returns the likelihood of the vector belonging to the cluster. |
means () |
The means used for clustering. |
num_clusters () |
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unicode_repr () |
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vector (vector) |
Returns the vector after normalisation and dimensionality reduction |