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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';
// MODULES //
var format = require( '@stdlib/string/format' );
var prng = require( './prng.js' );
var base = require( './base.js' );
// MAIN //
/**
* Initializes centroids by performing the random partition initialization procedure on double-precision floating-point data points using alternative indexing semantics.
*
* @param {PositiveInteger} M - number of data points
* @param {PositiveInteger} N - number of features
* @param {PositiveInteger} k - number of clusters
* @param {Float64Array} X - input array
* @param {integer} sx1 - first stride length of `X`
* @param {integer} sx2 - second stride length of `X`
* @param {NonNegativeInteger} ox - starting index of `X`
* @param {Float64Array} out - output array
* @param {integer} so1 - first stride length of `out`
* @param {integer} so2 - second stride length of `out`
* @param {NonNegativeInteger} oo - starting index of `out`
* @param {Int32Array} W - workspace array of size `k` for tracking per-cluster point counts
* @param {integer} sw - stride length of `W`
* @param {NonNegativeInteger} ow - starting index of `W`
* @param {Options} [options] - function options
* @param {PRNG} [options.prng] - pseudorandom number generator which generates uniformly distributed pseudorandom numbers
* @param {PRNGSeedMT19937} [options.seed] - pseudorandom number generator seed
* @param {PRNGStateMT19937} [options.state] - pseudorandom number generator state
* @param {boolean} [options.copy=true] - boolean indicating whether to copy a provided pseudorandom number generator state
* @throws {RangeError} first argument must be greater than or equal to third argument
* @throws {Error} must provide valid options.
* @returns {Float64Array} centroids
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var Int32Array = require( '@stdlib/array/int32' );
*
* 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( 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 ]
*/
function dkmeansInitRandomPartition( M, N, k, X, sx1, sx2, ox, out, so1, so2, oo, W, sw, ow, options ) { // eslint-disable-line max-len, max-params, id-length
var randi;
if ( k > M ) {
throw new RangeError( format( 'invalid argument. First argument `M` must be greater than or equal to third argument `k`. Value: `M=%d, k=%d`.', M, k ) );
}
if ( k < 1 || M < 1 || N < 1 ) {
return out;
}
randi = prng( k, arguments.length > 14, options );
return base( M, N, X, sx1, sx2, ox, out, so1, so2, oo, W, sw, ow, randi );
}
// EXPORTS //
module.exports = dkmeansInitRandomPartition;
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