Man pages for thecomeonman/CURD
Implementation of the CURD algorithm for clustering

AssignClusterAssignClusterCore needs a shell function around it for...
AssignClusterCoreBackend for AssignCluster
CalculatePerformanceFromConfusionMatrixCalculate performance metric from confusion matrix Right now,...
DrawTreeDraws the tree with labels, etc.
dtUCIVotingRecordsUCI voting dataset
EvaluateFeaturesUsingClassifierFeature selection for node split using RF/rpart models
EvaluateNodeCandidateUsingRFEvaluate a feature using random forest
EvaluateNodeCandidateUsingRpartEvaluate a feature using classification tree models
GetClassificationAccuracyByClassDepthClassification accuracy at various levels
helloHello, World!
NewClusteringNodesFunction to return details of each node in a tabular format....
OptimizeNominalFeatureChunksFigure out how to divide nominal features into chunks
OptimizeOrdinalFeatureChunksFigure out how to divide ordinal features into chunks
QualityOfClusteringMeasures quality of clustering at various levels
RecursivePartitioningTreeClusteringEnd function to evaluate (using RF) predictor candidates on...
TagClustersByDepthTag clusters by depth Iterate through depth levels For a...
TraverseTreeToMeasureClassificationQualityFUNCTION: TEST PERFORMANCE OF CLUSTER TREE ON LABELED DATA...
TraverseTreeToSummarizeClustersAsDataTableSummarise tree as data.table with a row for each node This...
TreeStretchedToBottomBasically adds a Stretch column to the output of...
TreeStretchedToBottomWithDetailsBuilds on TreeStretchedToBottom and adds additional details
thecomeonman/CURD documentation built on Dec. 27, 2018, 11:32 p.m.