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Statements

Subject Item
dbr:K-means_clustering
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dbr:BFR_algorithm
Subject Item
dbr:BFR_algorithm
rdfs:label
BFR algorithm
rdfs:comment
The BFR algorithm, named after its inventors Bradley, Fayyad and Reina, is a variant of k-means algorithm that is designed to cluster data in a high-dimensional Euclidean space. It makes a very strong assumption about the shape of clusters: they must be normally distributed about a centroid. The mean and standard deviation for a cluster may differ for different dimensions, but the dimensions must be independent.
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dbc:Cluster_analysis_algorithms
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57450541
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842176375
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dbr:Normal_distribution dbr:Euclidean_space dbr:Mean dbc:Cluster_analysis_algorithms dbr:K-means_clustering dbr:Standard_deviation dbr:Centroid
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The BFR algorithm, named after its inventors Bradley, Fayyad and Reina, is a variant of k-means algorithm that is designed to cluster data in a high-dimensional Euclidean space. It makes a very strong assumption about the shape of clusters: they must be normally distributed about a centroid. The mean and standard deviation for a cluster may differ for different dimensions, but the dimensions must be independent.
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dbr:CURE_algorithm
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dbr:BFR_algorithm
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wikipedia-en:BFR_algorithm
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dbr:BFR_algorithm