Grasshopper2.Geometry.Clusteringnamespace
Types
Grasshopper2.Geometry.Clustering.IDimensional
Interface for all objects that exist within a specific dimensionality.
Grasshopper2.Geometry.Clustering.ISampleSet
Base interface (no generics) for n-dimensional sample sets.
Grasshopper2.Geometry.Clustering.BoxN
Represents an immutable n-dimensional rectangle.
Grasshopper2.Geometry.Clustering.DimensionalityMismatchException
Exception used when elements of different dimensionality interact.
Grasshopper2.Geometry.Clustering.DimensionalityNumberException
Exception used for zero or negative dimensionalities.
Grasshopper2.Geometry.Clustering.KdLeafMergePrecedence
Enumerates the possible ways in which leaves can be merged.
Grasshopper2.Geometry.Clustering.KdMeanSelectionPrecedence
Enumerates the possible ways in which leaves can be enumerated.
Grasshopper2.Geometry.Clustering.KdMeanType
Enumerates the possible ways in which leaf means can be defined.
Grasshopper2.Geometry.Clustering.KdTree
Represents an immutable kD-tree associated with a sample set.
Grasshopper2.Geometry.Clustering.KdTreeSearchResults
Represent a collection of near searches.
Grasshopper2.Geometry.Clustering.KMeansCluster
Represents an immutable k-means cluster associated with a sample set.
Grasshopper2.Geometry.Clustering.KMeansIteration
Callback delegate for K-Means clustering calculations.
Grasshopper2.Geometry.Clustering.KohonenMap<T>
Provides a generic self-organising or 'Kohonen' map. Which is a way to transform high-dimensional data onto a two dimensional grid.
Grasshopper2.Geometry.Clustering.KohonenNeuron
Represents a single neuron in a Kohonen map.
Grasshopper2.Geometry.Clustering.PointN
Represents a single immutable n-dimensional point.
Grasshopper2.Geometry.Clustering.ProcessInstruction
Enumerates the possible types of instructions regarding long running processes.
Grasshopper2.Geometry.Clustering.ProjectItem<T>
Project an item into N-dimensional euclidean space.
Grasshopper2.Geometry.Clustering.SampleSet<T>
Represents an immutable data set of n-dimensional samples.