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 | 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 21x 21x 11x 11x 21x 10x 21x 2x 2x 2x 2x 2x | /**
* @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 resolveMetricStr = require( '@stdlib/ml/base/kmeans/metric-resolve-str' );
var resolveMetricEnum = require( '@stdlib/ml/base/kmeans/metric-resolve-enum' );
var format = require( '@stdlib/string/format' );
var addon = require( './../src/addon.node' );
// MAIN //
/**
* Compute inertia between double-precision floating-point centroids and data points using alternative indexing semantics.
*
* @param {PositiveInteger} M - number of samples.
* @param {PositiveInteger} N - number of features.
* @param {NonNegativeInteger} k - number of centroids
* @param {Function} metric - distance function.
* @param {Float64Array} X - input strided matrix.
* @param {integer} sx1 - stride length of first dimension of X.
* @param {integer} sx2 - stride length of second dimension of X.
* @param {integer} ox - starting index of X.
* @param {Float64Array} C - strided array centroid locations.
* @param {integer} sc1 - stride length of first dimension of c.
* @param {integer} sc2 - stride length of second dimension of c.
* @param {integer} oc - initial index of centroids.
* @param {Int32Array} labels - labels array containing cluster index of each data point.
* @param {integer} sl - stride length of labels.
* @param {integer} ol - initial index of labels.
* @throws {TypeError} fourth argument must be a supported distance metric
* @returns {number} inertia.
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var Int32Array = require( '@stdlib/array/int32' );
*
* var X = new Float64Array( [ 1.0, 1.0, 5.0, 5.0, 1.5, 1.5 ] );
* var C = new Float64Array( [ 1.0, 1.0, 5.0, 5.0 ] );
* var labels = new Int32Array( [ 0, 1, 0 ] );
*
* var inertia = dcomputeInertia( 3, 2, 2, 'sqeuclidean', X, 2, 1, 0, C, 2, 1, 0, labels, 1, 0 );
* // returns 0.5
*/
function dcomputeInertia( M, N, k, metric, X, sx1, sx2, ox, C, sc1, sc2, oc, labels, sl, ol ) { // eslint-disable-line max-len, max-params
if ( resolveMetricStr( metric ) === null ) {
throw new TypeError( format( 'invalid argument. Fourth argument must be a supported distance metric. Value: `%s`.', metric ) );
}
if ( M < 1 || N < 1 || k < 1 ) {
return NaN;
}
return addon.ndarray( M, N, k, resolveMetricEnum( metric ), X, sx1, sx2, ox, C, sc1, sc2, oc, labels, sl, ol ); // eslint-disable-line max-len
}
// EXPORTS //
module.exports = dcomputeInertia;
|