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SncOptions

Defined in: passes/snc.ts:16

PropertyTypeDescriptionDefined in
alpha?numberSmoothing in 1 / (similarity + alpha). Default 0.1.passes/snc.ts:22
iterations?numberRandom-walk rounds per measure. More narrows the spread. Default 150.passes/snc.ts:18
k?numberNeighbours for the k-NN and SNN graphs. Default floor(sqrt(N)).passes/snc.ts:24
local?booleanAccumulate per-point contributions. Costs memory; off by default.passes/snc.ts:28
maxPoints?numberRefuse above this many points: the SNN matrices are N x N. Default 6000.passes/snc.ts:30
seed?numberSeed, so a run is reproducible. Default 1212 (DruidJS’s convention).passes/snc.ts:26
signal?AbortSignal-passes/snc.ts:31
walkRatio?numberWalk length as a fraction of N. Default 0.3.passes/snc.ts:20