BICO
1.0
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![]() ![]() | Namespace for the CluE library |
![]() ![]() ![]() | Abstract base class for algorithms |
![]() ![]() ![]() | Abstract base class for attribute calculation (e.g. diameter) |
![]() ![]() ![]() | Abstract base class for cluster dissimilarity measurement |
![]() ![]() ![]() | Interface to propagate the ability to set a ClusterDissimilarityMeasure |
![]() ![]() ![]() | Abstract class. Proxy based evaluation algorithms may be optimized by deriving from this class |
![]() ![]() ![]() | Interface to extend a template type to provide discrete (bounded) space {0, ..., n-1}^d features |
![]() ![]() ![]() | Abstract base class to access the results of proxy / center based clustering algorithms |
![]() ![]() ![]() | Abstract base class for dissimilarity measurement |
![]() ![]() ![]() | Interface to extend a template type to provide euclidean vector space features |
![]() ![]() ![]() | Abstract base class for clustering evaluations |
![]() ![]() ![]() | Interface to propagate the ability to set input data |
![]() ![]() ![]() | Interface to propagate the ability to set a DissimilarityMeasure |
![]() ![]() ![]() | Abstract class for partition-based evaluation algorithms |
![]() ![]() ![]() | Abstract base class to access results of partition based clustering algorithms |
![]() ![]() ![]() | Abstract class for proxy-based evaluation algorithms |
![]() ![]() ![]() | Abstract base class for mechanisms that compute a proxy or representative object for a given set of objects, e.g. a cluster center |
![]() ![]() ![]() | Abstract base class to access results of proxy / center based clustering algorithms |
![]() ![]() ![]() | Abstract base class for algorithm solutions |
![]() ![]() ![]() | Abstract base class for streaming algorithms |
![]() ![]() ![]() | Abstract base class for weighted objects |
![]() ![]() ![]() | Abstract base class to modify the weight of weighted objects |
![]() ![]() ![]() | Fast computation of k-means coresets in a data stream |
![]() ![]() ![]() ![]() | Class representing a node in BICO's tree |
![]() ![]() ![]() | Clustering feature tree entry |
![]() ![]() ![]() | Clustering feature with representation point |
![]() ![]() ![]() | Data structure for discrete proxies |
![]() ![]() ![]() | Data structure for proxies |
![]() ![]() ![]() | Calculates the k-means weight |
![]() ![]() ![]() | CluE related exceptions base class |
![]() ![]() ![]() | Indicates invalid values of arguments |
![]() ![]() ![]() | Indicates that a computation entered an invalid configuration state |
![]() ![]() ![]() | Random number generator |
![]() ![]() ![]() | L2 metric for Point |
![]() ![]() ![]() | Weighted point of arbitrary dimension |
![]() ![]() ![]() | Center of gravity for Point |
![]() ![]() ![]() | Modifies the weight of a Point |
![]() ![]() ![]() | Provides euclidean vector space features for Point |
![]() ![]() ![]() | Squared L2 metric for Point |
![]() ![]() | Encapsulates an STL random generator |