Sammon

Sammon Mapping is a non-linear approach for mapping higher-dimensional space to a space of lower dimensionality, which attempts to preserve structure.

How It Works

Sammon Mapping is a variation of metric MDS that uses a specific cost function (Sammon's stress) which heavily penalizes errors in preserving smaller distances over larger ones.

Why or When to Use

Use Sammon Mapping when preserving local distances (small distances between nearby points) is more important than global distances, often resulting in better cluster separation.

Example

How-to (Code)

import * as druid from "@saehrimnir/druidjs";

const data = [
  /* ... multi-dimensional data ... */
];

// 1. Initialize the algorithm
const sammon = new druid.SAMMON(data);

// 2. Compute the projection
const projection = sammon.transform();