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talisman

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Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

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'use strict'; Object.defineProperty(exports, "__esModule", { value: true }); exports.CanopyClusterer = undefined; exports.default = canopy; var _abstract = require('./abstract'); var _abstract2 = _interopRequireDefault(_abstract); function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } function _possibleConstructorReturn(self, call) { if (!self) { throw new ReferenceError("this hasn't been initialised - super() hasn't been called"); } return call && (typeof call === "object" || typeof call === "function") ? call : self; } function _inherits(subClass, superClass) { if (typeof superClass !== "function" && superClass !== null) { throw new TypeError("Super expression must either be null or a function, not " + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; } /** * Talisman clustering/canopy * =========================== * * Canopy clustering implementation. */ /** * Canopy Clusterer class. * * @constructor */ var CanopyClusterer = exports.CanopyClusterer = function (_RecordLinkageCluster) { _inherits(CanopyClusterer, _RecordLinkageCluster); function CanopyClusterer(params, items) { _classCallCheck(this, CanopyClusterer); // Validating the distance function var _this = _possibleConstructorReturn(this, _RecordLinkageCluster.call(this, params, items)); if (typeof params.distance !== 'function') throw new Error('talisman/clustering/record-linkage/canopy: the given distance is not a function.'); // Validating the thresholds if (typeof params.loose !== 'number') throw new Error('talisman/clustering/record-linkage/canopy: the given loose distance is not a number.'); if (typeof params.tight !== 'number') throw new Error('talisman/clustering/record-linkage/canopy: the given tight distance is not a number.'); if (params.loose < params.tight) throw new Error('talisman/clustering/record-linkage/canopy: loose distance should be greater than tight distance.'); _this.distance = params.distance; _this.params.loose = params.loose; _this.params.tight = params.tight; return _this; } CanopyClusterer.prototype.run = function run() { var itemsIndex = {}, clusters = []; for (var i = 0, l = this.items.length; i < l; i++) { itemsIndex[i] = true; }for (var k in itemsIndex) { var a = this.items[k]; // Starting a new canopy delete itemsIndex[k]; var cluster = [a]; // Comparing to other elements in the set for (var k2 in itemsIndex) { var b = this.items[k2], d = this.distance(a, b); if (d <= this.params.loose) cluster.push(b); if (d <= this.params.tight) delete itemsIndex[k2]; } clusters.push(cluster); } return clusters; }; return CanopyClusterer; }(_abstract2.default); /** * Shortcut function for the canopy clusterer. * * @param {object} params - Clusterer parameters. * @param {array} items - Items to cluster. */ function canopy(params, items) { var clusterer = new CanopyClusterer(params, items); return clusterer.run(); } module.exports = exports['default'];