@ai-on-browser/data-analysis-models
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Data analysis model package without any dependencies
36 lines (35 loc) • 883 B
TypeScript
/**
* Linear manifold clustering
*/
export default class LMCLUS {
/**
* @param {number} k Max LM dim
* @param {number} s Sampling level
* @param {number} gamma Sensitivity threshold
*/
constructor(k: number, s: number, gamma: number);
_k: number;
_s: number;
_gamma: number;
/**
* Number of clusters.
* @type {number}
*/
get size(): number;
/**
* Fit model
* @param {Array<Array<number>>} datas Training data
*/
fit(datas: Array<Array<number>>): void;
_c: any[];
_dims: any[];
_sampleidx(n: any, k: any): number[];
_findSeparation(d: any, k: any, s: any): any[];
_makeHistogram(d: any): any[][];
_findMinimumErrorThreshold(h: any, r: any): any[];
/**
* Returns predicted categories.
* @returns {number[]} Predicted values
*/
predict(): number[];
}