@ai-on-browser/data-analysis-models
Version:
Data analysis model package without any dependencies
35 lines (34 loc) • 935 B
TypeScript
/**
* arbitrarily ORiented projected CLUSter generation
*/
export default class ORCLUS {
/**
* @param {number} k Number of clusters
* @param {number} k0 Number of begining seeds
* @param {number} l Number of dimensions
*/
constructor(k: number, k0: number, l: number);
_k: number;
_k0: number;
_l: number;
_alpha: number;
_beta: number;
_pdist(a: any, b: any, e: any): number;
/**
* Fit model.
* @param {Array<Array<number>>} datas Training data
*/
fit(datas: Array<Array<number>>): void;
_x: number[][];
_s: any;
_e: any;
_assign(): any[];
_findVectors(c: any, q: any): number[][];
_merge(c: any, knew: any, lnew: any): any[];
/**
* Returns predicted categories.
* @param {Array<Array<number>>} datas Sample data
* @returns {number[]} Predicted values
*/
predict(datas: Array<Array<number>>): number[];
}