POpulation-based Evaluation Metrics
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Documentation for package ‘poem’ version 0.99.7
Help Pages
| CDbw | Calculate CDbw index |
| CHAOS | Calculate CHAOS score |
| dbcv | Calculate DBCV Metric |
| ELSA | Calculate ELSA scores |
| emb2knn | Computes k nearest neighbors from embedding |
| emb2snn | Computes shared nearest neighbors from embedding |
| findSpatialKNN | Find the k nearest spatial neighbors |
| fuzzyHardMetrics | Compute fuzzy-hard versions of pair-sorting partition metrics |
| fuzzyHardSpotConcordance | Per-element maximal concordance between a hard and a fuzzy partition |
| fuzzyPartitionMetrics | Compute fuzzy-fuzzy versions of pair-sorting partition metrics |
| fuzzySpotConcordance | Per-element concordance between two fuzzy partitions |
| getEmbeddingMetrics | Compute embedding-based metrics |
| getFuzzyLabel | Get fuzzy representation of labels |
| getFuzzyPartitionMetrics | Compute external metrics for fuzzy clusterings |
| getGraphMetrics | Compute graph-based metrics |
| getNeighboringPairConcordance | Per-element local concordance between a clustering and a ground truth |
| getPairConcordance | Per-element pair concordance score |
| getPartitionMetrics | Compute partition-based metrics |
| getSpatialExternalMetrics | Calculate Spatial External Metrics |
| getSpatialExternalMetrics-method | Calculate Spatial External Metrics |
| getSpatialInternalMetrics | Compute internal metrics for spatial data |
| getSpatialInternalMetrics-method | Compute internal metrics for spatial data |
| knnComposition | Compute neighborhood composition |
| matchSets | Match two partitions using Hungarian algorithm |
| metric_info | Metrics Information |
| mockData | Generate mock multidimensional data |
| noisy_moon | The noisy moon dataset |
| PAS | Calculate PAS score |
| sp_toys | Toy examples of spatial data |
| toyExamples | Toy embedding examples |