deno.land / x / simplestatistics@v7.8.3 / test / silhouette.test.js
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859/* eslint no-shadow: 0 */
const test = require("tap").test;const ss = require("../dist/simple-statistics.js");
test("silhouette test", function (t) { t.test("Requires equal-sized arrays", function (t) { t.throws(function () { ss.silhouette([[0]], [1, 2]); }); t.end(); });
t.test("Single cluster of one point has metric 0", function (t) { const points = [[0.5]]; const labels = [0]; const actual = ss.silhouette(points, labels); t.same(actual, [0.0]); const metric = ss.silhouetteMetric(points, labels); t.equal(metric, 0.0); t.end(); });
t.test("Single cluster of two points has metric 1.0", function (t) { const points = [[0.25], [0.75]]; const labels = [0, 0]; const actual = ss.silhouette(points, labels); t.same(actual, [1.0, 1.0]); const metric = ss.silhouetteMetric(points, labels); t.equal(metric, 1.0); t.end(); });
t.test("Two clusters with one point each has metric 0.0", function (t) { const points = [[0.25], [0.75]]; const labels = [0, 1]; const actual = ss.silhouette(points, labels); t.same(actual, [0.0, 0.0]); const metric = ss.silhouetteMetric(points, labels); t.equal(metric, 0.0); t.end(); });
// Outer points have a = 0.1, b = 0.5, s = 4/5. // Inner points have a = 0.1, b = 0.3, s = 2/3. t.test("Two clusters with two points each has metric 0.5", function (t) { const points = [[0.2], [0.4], [0.6], [0.8]]; const labels = [0, 0, 1, 1]; const actual = ss.silhouette(points, labels); const expected = [4 / 5, 2 / 3, 2 / 3, 4 / 5]; t.ok(actual.every((val, i) => ss.approxEqual(val, expected[i]))); const metric = ss.silhouetteMetric(points, labels); t.ok(ss.approxEqual(metric, 4 / 5)); t.end(); });
t.end();});
Version Info