BICO 1.1

- Main Page
- Related Pages
- Namespaces
- Classes
- Files

- Class List
- Class Hierarchy
- Class Members

All Classes Namespaces Files Functions Variables Typedefs Pages
Class Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 1 2 3]

▼C CluE::Algorithm | Abstract base class for algorithms
▼C CluE::StreamingAlgorithm< T > | Abstract base class for streaming algorithms
C CluE::Bico< T > | Fast computation of k-means coresets in a data stream
C CluE::AttributeCalculator< T > | Abstract base class for attribute calculation (e.g. diameter)
C CluE::Bico< T >::BicoNode | Class representing a node in BICO's tree
▼C CluE::CFEntry< T > | Clustering feature tree entry
C CluE::CFREntry< T > | Clustering feature with representation point
▼C CluE::CluEException | CluE related exceptions base class
C CluE::InvalidArgumentException | Indicates invalid values of arguments
C CluE::InvalidRuntimeConfigurationException | Indicates that a computation entered an invalid configuration state
C CluE::ClusterDissimilarityMeasure< T > | Abstract base class for cluster dissimilarity measurement
C CluE::ClusterMeasureSetter< T > | Interface to propagate the ability to set a ClusterDissimilarityMeasure
C CluE::comparePairFirst< P > |
C CluE::DiscreteBoundedSpace< VectorType, size_space > | Interface to extend a template type to provide discrete (bounded) space {0, ..., n-1}^d features
▼C CluE::DiscreteProxyProvider< T > | Abstract base class to access the results of proxy / center based clustering algorithms
C CluE::DiscreteProxySolution< T > | Data structure for discrete proxies
C CluE::DissimilarityMeasure< T > | Abstract base class for dissimilarity measurement
▼C CluE::DissimilarityMeasure< Point > |
C CluE::L2Metric | L2 metric for Point
C CluE::SquaredL2Metric | Squared L2 metric for Point
C CluE::EuclideanSpaceProvider< VectorType > | Interface to extend a template type to provide euclidean vector space features
▼C CluE::EuclideanSpaceProvider< Point > |
C CluE::RealSpaceProvider | Provides euclidean vector space features for Point
▼C CluE::Evaluation | Abstract base class for clustering evaluations
▼C CluE::CombinedEvaluation< T > | Abstract class. Proxy based evaluation algorithms may be optimized by deriving from this class
C CluE::KMeansEvaluator< T > | Calculates the k-means weight
C CluE::PartitionEvaluation< T > | Abstract class for partition-based evaluation algorithms
▼C CluE::ProxyEvaluation< T > | Abstract class for proxy-based evaluation algorithms
C CluE::KMeansEvaluator< T > | Calculates the k-means weight
C CluE::InputSetter< T > | Interface to propagate the ability to set input data
▼C CluE::MeasureSetter< T > | Interface to propagate the ability to set a DissimilarityMeasure
C CluE::KMeansEvaluator< T > | Calculates the k-means weight
C CluE::PartitionProvider< T > | Abstract base class to access results of partition based clustering algorithms
C CluE::ProxyGenerator< T > | Abstract base class for mechanisms that compute a proxy or representative object for a given set of objects, e.g. a cluster center
▼C CluE::ProxyGenerator< Point > |
C CluE::PointCentroid | Center of gravity for Point
▼C CluE::ProxyProvider< T > | Abstract base class to access results of proxy / center based clustering algorithms
C CluE::ProxySolution< T > | Data structure for proxies
C RandomGenerator | Encapsulates an STL random generator
C CluE::Randomness | Random number generator
▼C CluE::SolutionProvider | Abstract base class for algorithm solutions
C CluE::DiscreteProxySolution< T > | Data structure for discrete proxies
C CluE::ProxySolution< T > | Data structure for proxies
▼C CluE::WeightedObject | Abstract base class for weighted objects
C CluE::Point | Weighted point of arbitrary dimension
C CluE::WeightModifier< T > | Abstract base class to modify the weight of weighted objects
▼C CluE::WeightModifier< Point > |
C CluE::PointWeightModifier | Modifies the weight of a Point