Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 | 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x 3x | /**
* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
'use strict';
/**
* Initialize centroids by performing the k-means++ initialization procedure on double-precision floating-point data points.
*
* @module @stdlib/ml/strided/dkmeans-init-plus-plus
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var Int32Array = require( '@stdlib/array/int32' );
* var dkmeansInitPlusPlus = require( '@stdlib/ml/strided/dkmeans-init-plus-plus' );
*
* var k = 3;
* var M = 5;
* var N = 2;
*
* var out = new Float64Array( k*N );
* var W1 = new Float64Array( 2*M );
* var W2 = new Int32Array( k );
*
* // Specify data points:
* var xbuf = new Float64Array([
* 0.0, 0.0,
* 1.0, 1.0,
* 1.0, -1.0,
* -1.0, -1.0,
* -1.0, 1.0
* ]);
*
* var opts = {
* 'seed': 1234
* }
*
* dkmeansInitPlusPlus( 'row-major', M, N, k, 3, 'sqeuclidean', xbuf, 2, out, 2, W1, 1, W2, 1, opts );
* // out => <Float64Array>[ 1.0, -1.0, 0.0, 0.0, -1.0, 1.0 ]
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var Int32Array = require( '@stdlib/array/int32' );
* var dkmeansInitPlusPlus = require( '@stdlib/ml/strided/dkmeans-init-plus-plus' );
*
* var k = 3;
* var M = 5;
* var N = 2;
*
* var out = new Float64Array( k*N );
* var W1 = new Float64Array( 2*M );
* var W2 = new Int32Array( k );
*
* // Specify data points:
* var xbuf = new Float64Array([
* 0.0, 0.0,
* 1.0, 1.0,
* 1.0, -1.0,
* -1.0, -1.0,
* -1.0, 1.0
* ]);
*
* var opts = {
* 'seed': 1234
* }
*
* dkmeansInitPlusPlus.ndarray( M, N, k, 3, 'sqeuclidean', xbuf, 2, 1, 0, out, 2, 1, 0, W1, 1, 0, W2, 1, 0, opts );
* // out => <Float64Array>[ 1.0, -1.0, 0.0, 0.0, -1.0, 1.0 ]
*/
// MODULES //
var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
var dkmeansInitPlusPlus = require( './main.js' );
var ndarray = require( './ndarray.js' );
// MAIN //
setReadOnly( dkmeansInitPlusPlus, 'ndarray', ndarray );
// EXPORTS //
module.exports = dkmeansInitPlusPlus;
|