@thi.ng/k-means - npm Package Compare versions

Comparing version 0.7.9 to 0.7.10

CHANGELOG.md

 # Change Log
 
-- **Last updated**: 2024-10-05T12:12:32Z
+- **Last updated**: 2024-10-05T13:06:12Z
 - **Generator**: [thi.ng/monopub](https://thi.ng/monopub)
@@ -12,2 +12,8 @@
 
+### [0.7.10](https://github.com/thi-ng/umbrella/tree/@thi.ng/k-means@0.7.10) (2024-10-05)
+
+#### ♻️ Refactoring
+
+- add explicit type casts (TS5.6.2) ([dcbdd60](https://github.com/thi-ng/umbrella/commit/dcbdd60))
+
 ## [0.7.0](https://github.com/thi-ng/umbrella/tree/@thi.ng/k-means@0.7.0) (2024-07-25)
@@ -14,0 +20,0 @@

kmeans.d.ts

 import type { IDistance } from "@thi.ng/distance";
+import type { IRandom } from "@thi.ng/random";
 import type { ReadonlyVec } from "@thi.ng/vectors";
@@ -36,3 +37,3 @@ import type { CentroidStrategy, Cluster, KMeansOpts } from "./api.js";
  */
-export declare const initKmeanspp: <T extends ReadonlyVec>(k: number, samples: T[], dist?: IDistance<ReadonlyVec>, rnd?: import("@thi.ng/random").SystemRandom) => number[];
+export declare const initKmeanspp: <T extends ReadonlyVec>(k: number, samples: T[], dist?: IDistance<ReadonlyVec>, rnd?: IRandom) => number[];
 /**
@@ -39,0 +40,0 @@ * Default centroid strategy forming new centroids by averaging the position of

package.json

 {
   "name": "@thi.ng/k-means",
-  "version": "0.7.9",
+  "version": "0.7.10",
   "description": "Configurable k-means & k-medians (with k-means++ initialization) for n-D vectors",
@@ -88,3 +88,3 @@ "type": "module",
   },
-  "gitHead": "11ae480076e61a2263f5730ffb37dfddbf01c7d1\n"
+  "gitHead": "9a32147fce4bd1e5f98dffb04a452576f9984de8\n"
 }

No alert changes

Improved metrics

Total package byte prevSize

34285

increased by0.69%

Lines of code

257

increased by0.39%

No dependency changes