CluE  1.0
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Macros Groups Pages
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 1234]
 NCluENamespace for the CluE library
 CAdaptiveSamplingK-means++ sampling method
 CAgglomerativeAgglomerative clustering algorithm
 CAlgorithmAbstract base class for algorithms
 CAttributeCalculatorAbstract base class for attribute calculation (e.g. diameter)
 CAverageLinkageAverage cluster linkage
 CBalcanBlumGuptaBalcanBlumGupta algorithm
 CBirchBIRCH clustering algorithm
 CThreshFuncRedirectorWraps around a BirchConfig object to provide threshold calculation
 CBirchConfigBIRCH configuration class
 CBruteForceClusteringBrute force k-median / k-means clustering
 CCarterWegmanUniversal hashing
 CCFAverageInterClusterDistanceCalculates the average inter-cluster distance D2 of a given CFEntry
 CCFDiameterCalculates the diameter D of a given CFEntry
 CCFEntryClustering feature tree entry
 CCFREntryClustering feature with representation point
 CCFTreeClustering feature tree
 CThresholdCalculatorThreshold calculation functor class
 CCluEExceptionCluE related exceptions base class
 CClusterDissimilarityMeasureAbstract base class for cluster dissimilarity measurement
 CClusterMeasureSetterInterface to propagate the ability to set a ClusterDissimilarityMeasure
 CCombinedEvaluationAbstract class. Proxy based evaluation algorithms may be optimized by deriving from this class
 CCombinedToPartitionEvaluationWrapperWraps CombinedEvaluation into PartitionEvaluation by using a ProxGenerator instance
 CCompleteLinkageComplete cluster linkage
 CDasguptaLongDasguptaLong algorithm
 CDiscreteBoundedRealSpaceProviderProvides discrete bounded space features for Point
 CDiscreteBoundedSpaceInterface to extend a template type to provide discrete (bounded) space {0, ..., n-1}^d features
 CDiscreteDoubleSolutionData structure for partitions and discrete proxies
 CDiscreteProxyProviderAbstract base class to access the results of proxy / center based clustering algorithms
 CDiscreteProxySolutionData structure for discrete proxies
 CDissimilarityMeasureAbstract base class for dissimilarity measurement
 CDistinctElementsCount distinct elements in a data stream
 CDistinctElementsPrimitiveCount distinct elements in a stream using a std::set (for debugging)
 CDistributionAbstract base class for probability distributions
 CDoubleSolutionData structure for partitions and proxies
 CDynamicBitsetDynamic bitset similiar to boost::dynamic_bitset
 CEuclideanSpaceProviderInterface to extend a template type to provide euclidean vector space features
 CEvaluationAbstract base class for clustering evaluations
 CFarthestFirstTraversalFarthest first traversal algorithm
 CFixedSizeSubsetIteratorIterates over all fixed-size subsets of a given superset
 CFrahlingSohlerCoreset algorithm for k-median clustering
 CGridInstanceSet of grids
 CGridA single grid
 CFrequencyCentroidWeighted centroid for FrequencyDistribution
 CFrequencyDistributionProbability distribution on non-negative integers
 CFrequencyKLDKullback-leibler divergence for FrequencyDistribution
 CGonzalesGonzales algorithm
 CGraycodeSequenceReturns the bits flipped in a Graycode sequence
 CHashFunctionBase class template for any hash function mapping an element from universe U to hashing space H
 CInputSetterInterface to propagate the ability to set input data
 CInvalidArgumentExceptionIndicates invalid values of arguments
 CInvalidRuntimeConfigurationExceptionIndicates that a computation entered an invalid configuration state
 CKCenterEvaluatorCalculates the k-center weight
 CKMeansEvaluatorCalculates the k-means weight
 CKumarSabharwalSenKumarSabharwalSen algorithm
 CTupelUsed to return a DoubleSolution and its cost
 CL1MetricL1 metric for Point
 CL2MetricL2 metric for Point
 CLloydtypeLloyd type algorithm
 CLloydtypeCFLloyd type algorithm using clustering features
 CLloydtypeCFSolutionLloydtypeCF specific DoubleSolution
 CLPMetricLp metric for Point
 CMatrixWeighted matrix of arbitrary dimension
 CMaxDiamEvaluatorCalculates the maximum diameter of one or more given clusters
 CMeasureSetterInterface to propagate the ability to set a DissimilarityMeasure
 CPartitionEvaluationAbstract class for partition-based evaluation algorithms
 CPartitionProviderAbstract base class to access results of partition based clustering algorithms
 CPartitionSolutionData structure for partitions
 CPointWeighted point of arbitrary dimension
 CPointCentroidCenter of gravity for Point
 CPointGaussUnivariate normal distribution
 CPointGMMGaussian Mixture Model distribution
 CPointKLDKullback-Leibler divergence for Point
 CPointSetDistanceCalculates the (minimum) distance between a point and a set of points
 CPointWeightModifierModifies the weight of a Point
 CPrimeGeneratorGenerates numbers which are (most likely) prime numbers
 CProxyBasedAggloAgglomerative proxy-based clustering algorithm
 CProxyEvaluationAbstract class for proxy-based evaluation algorithms
 CProxyGeneratorAbstract base class for mechanisms that compute a proxy or representative object for a given set of objects, e.g. a cluster center
 CProxyProviderAbstract base class to access results of proxy / center based clustering algorithms
 CProxySolutionData structure for proxies
 CRandomnessRandom number generator
 CRealSpaceProviderProvides euclidean vector space features for Point
 CSetIteratorBase class used to provide iterating over sets
 CSingleLinkageSingle cluster linkage
 CSolutionProviderAbstract base class for algorithm solutions
 CSquaredL1MetricSquared L1 metric for Point
 CSquaredL2MetricSquared L2 metric for Point
 CSquaredLPMetricSquared Lp metric for Point
 CStreamingAlgorithmAbstract base class for streaming algorithms
 CSubsetIteratorIterates over all subsets of a given superset
 CUniformSamplingUniform sampling
 CUniGaussUnivariate normal distribution
 CWeightedObjectAbstract base class for weighted objects
 CWeightModifierAbstract base class to modify the weight of weighted objects
 CRandomGeneratorEncapsulates an STL random generator