Provides general algorithmic utilities. These include:

• DiscreteDistribution: calculates statistical measures on discrete probability distributions represented as double arrays
• KMeansClusterer: uses the k-means algorithm to cluster points in d-dimensional space into k clusters
• MapBinaryHeap: a binary heap implementation that permits efficient element access and update operations
• RandomLocationTransformer: a class that randomly assigns 2D coordinates to items (default initializer for iterative Layouts)
• SettableTransformer: an extension of Transformer that allows mutation of the transformation