All files index.js

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/**
* @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 random partition initialization procedure on double-precision floating-point data points.
*
* @module @stdlib/ml/strided/dkmeans-init-random-partition
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var Int32Array = require( '@stdlib/array/int32' );
* var dkmeansInitRandomPartition = require( '@stdlib/ml/strided/dkmeans-init-random-partition' );
*
* var k = 3;
* var M = 5;
* var N = 2;
*
* var out = new Float64Array( k*N );
* var W = 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
* };
*
* dkmeansInitRandomPartition( 'row-major', M, N, k, xbuf, 2, out, 2, W, 1, opts );
* // out => <Float64Array>[ 0.0, 0.0, ~0.333, ~0.333, -1.0, -1.0 ]
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var Int32Array = require( '@stdlib/array/int32' );
* var dkmeansInitRandomPartition = require( '@stdlib/ml/strided/dkmeans-init-random-partition' );
*
* var k = 3;
* var M = 5;
* var N = 2;
*
* var out = new Float64Array( k*N );
* var W = 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
* };
*
* dkmeansInitRandomPartition.ndarray( M, N, k, xbuf, 2, 1, 0, out, 2, 1, 0, W, 1, 0, opts );
* // out => <Float64Array>[ 0.0, 0.0, ~0.333, ~0.333, -1.0, -1.0 ]
*/
 
 
// MODULES //
 
var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
var dkmeansInitRandomPartition = require( './main.js' );
var ndarray = require( './ndarray.js' );
 
 
// MAIN //
 
setReadOnly( dkmeansInitRandomPartition, 'ndarray', ndarray );
 
 
// EXPORTS //
 
module.exports = dkmeansInitRandomPartition;