func NewSimpleArray(inData [][]float64, k int) *SimpleArray {
randomSeed := rand.Int63()
data := utils.NewIterator(inData)
numDataPoints := len(inData)
dimension := 2
// As the number of rotations increases, the distance increases.
// Increases the noise.
numberOfRotations := 6
numberOfSearches := 1
numberOfProjections := 2
numberOfBlurs := 2
if data != nil {
// Get the first vector in the data set's length.
dimension = len(inData[0])
}
hashModulus := int64(math.MaxInt64)
// Set the target dimension much lower.
targetDimension := int(math.Floor(float64(dimension / 2)))
decoder := decoder.NewSpherical(targetDimension, numberOfRotations, numberOfSearches)
centroids := [][]float64{}
topIDs := []int64{}
return &SimpleArray{
numDataPoints: numDataPoints,
data: data,
dimension: dimension,
numberOfProjections: numberOfProjections,
randomSeed: randomSeed,
hashModulus: hashModulus,
k: k,
numberOfBlurs: numberOfBlurs,
decoder: decoder,
centroids: centroids,
topIDs: topIDs,
}
}
func NewStreamObject(dimension, k int) *StreamObject {
var centroids [][]float64
var topIDs []int64
numberOfRotations := 2
numberOfSearches := 2
targetDimension := 24
decoder := decoder.NewSpherical(targetDimension, numberOfRotations, numberOfSearches)
data := utils.NewIterator([][]float64{})
return &StreamObject{
decoder: decoder,
data: data,
dimension: dimension,
randomSeed: int64(0),
hashModulus: int64(int(0 >> 1)),
numberOfProjections: 1,
numberOfBlurs: 1,
k: k,
topIDs: topIDs,
centroids: centroids,
numDataPoints: 0,
}
}
