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gptkbp:instanceOf
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statistical analysis
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gptkbp:assesses
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Davies-Bouldin index
Dunn index
Rand index
Silhouette score
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gptkbp:challenge
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Scalability
Choosing number of clusters
Cluster validation
High-dimensional data
Interpretability
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gptkbp:firstDescribed
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1930s
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gptkbp:goal
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Group similar objects
Partition data into clusters
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|
https://www.w3.org/2000/01/rdf-schema#label
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Cluster Analysis
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gptkbp:input
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Distance matrix
Feature vectors
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gptkbp:measures
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gptkb:Manhattan_distance
gptkb:Jaccard_index
Euclidean distance
Cosine similarity
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gptkbp:method
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gptkb:K-means_clustering
gptkb:DBSCAN
gptkb:Gaussian_mixture_models
Agglomerative clustering
Fuzzy clustering
Hierarchical clustering
Mean shift clustering
Spectral clustering
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gptkbp:notableContributor
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gptkb:Anil_K._Jain
gptkb:Joseph_Hartigan
gptkb:Trygve_Jenssen
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gptkbp:notablePublication
|
gptkb:Clustering_Algorithms_(Hartigan,_1975)
gptkb:Data_Clustering:_Algorithms_and_Applications
gptkb:Pattern_Recognition_with_Fuzzy_Objective_Function_Algorithms
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|
gptkbp:output
|
gptkb:Clusters
Cluster labels
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gptkbp:relatedTo
|
Principal Component Analysis
Classification
Anomaly Detection
Dimensionality Reduction
|
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gptkbp:usedIn
|
gptkb:Machine_Learning
gptkb:Bioinformatics
gptkb:Pattern_Recognition
Data Mining
Market Research
Social Network Analysis
Image Analysis
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gptkbp:bfsParent
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gptkb:Brian_Everitt
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gptkbp:bfsLayer
|
6
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