interface AggregateKMeansResponse
count: number;
counts: number[];
info: Record<string, string>;
means: number[][];
num_iters: number;
request_time_secs?: number;
rms_dist: number;
rms_dists: number[];
tolerance: number;
count: number;
counts: number[];
info: Record<string, string>;
means: number[][];
num_iters: number;
request_time_secs?: number;
rms_dist: number;
rms_dists: number[];
tolerance: number;
- Defined in src/types.ts:591
Properties
counts
counts: number[]
The number of elements in the cluster closest the corresponding k-means values.
- Defined in src/types.ts:595
num_iters
num_iters: number
The number of iterations the algorithm executed before it quit.
- Defined in src/types.ts:605
Optionalrequest_time_secs
request_time_secs?: number
Server-reported request time in seconds, when it sent one
- Defined in src/types.ts:609
rms_dist
rms_dist: number
The sum of all the rms_dists - the value the k-means algorithm is attempting to minimize.
- Defined in src/types.ts:601
rms_dists
rms_dists: number[]
The root mean squared distance of the elements in the cluster for each of the k-means values.
- Defined in src/types.ts:597
tolerance
tolerance: number
The distance between the last two iterations of the algorithm before it quit.
- Defined in src/types.ts:603
The total count of all the clusters - will be the size of the input table.