K-Means as a Service

This service analyzes data to determine the best number of clusters for it, using K-Means algorithm with Mahalanois distance and Bayesian Information Criterion.

New Analysis

Upload your data file here to start a new analysis:

n_exp:

Number of times the analysis is run to create confidence intervals. Min: 1. Max: 100.

max_k:

Maximum number of clusters to fit to the data. Min: 1. Max: 15.

n_init:

Number of times to initialize each fit. Min: 1. Max: 100.

covars:

Covariance matrices to use for the analysis.

scale:

Scale the data so that each dimension has zero mean and unit standard deviation. This option is recommended.

file:

Only ".csv" files smaller than 256MB in size are allowed. The files must have a header with column names.

cols:

Columns from the file to be used for clustering. "Longitude" and "Latitude" are excluded by default, but can be added above.

Check Status

Check the status of a previously submitted job here:

View Report

View the report for a previously submitted job here:

Centaurus

K-Means as a Service

New Analysis

Check Status

View Report

Examples