AI.Clustering.Hierarchical.Types

Documentation

type Distance = Double

type DistFn a = a -> a -> Distance

type Size = Int

data Dendrogram a

Constructors

Leaf !a

Branch !Size !Distance !(Dendrogram a) !(Dendrogram a)

Instances

Functor Dendrogram

Defined in AI.Clustering.Hierarchical.Types

Methods

fmap :: (a -> b) -> Dendrogram a -> Dendrogram b

(<$) :: a -> Dendrogram b -> Dendrogram a

Eq a => Eq (Dendrogram a)

Defined in AI.Clustering.Hierarchical.Types

Methods

(==) :: Dendrogram a -> Dendrogram a -> Bool

(/=) :: Dendrogram a -> Dendrogram a -> Bool

Show a => Show (Dendrogram a)

Defined in AI.Clustering.Hierarchical.Types

Methods

showsPrec :: Int -> Dendrogram a -> ShowS

show :: Dendrogram a -> String

showList :: [Dendrogram a] -> ShowS

Binary a => Binary (Dendrogram a)

Defined in AI.Clustering.Hierarchical.Types

Methods

put :: Dendrogram a -> Put

get :: Get (Dendrogram a)

putList :: [Dendrogram a] -> Put

size :: Dendrogram a -> Int

O(1) Return the size of a dendrogram

data DistanceMat

Constructors

DistanceMat !Int !(Vector Double)

Instances

Show DistanceMat

Defined in AI.Clustering.Hierarchical.Types

Methods

showsPrec :: Int -> DistanceMat -> ShowS

show :: DistanceMat -> String

showList :: [DistanceMat] -> ShowS

(!) :: DistanceMat -> (Int, Int) -> Double

idx :: Int -> Int -> Int -> Int

computeDists :: Vector v a => DistFn a -> v a -> DistanceMat

compute distance matrix

computeDists' :: Vector v a => DistFn a -> v a -> DistanceMat

compute distance matrix in parallel