App features
Elbow method
K-means is a data clustering algorithm. The main drawback is that the user must specify the number (k) of the clusters that the algorithm will "discover". However, the user may not advance the specific number, and if the algorithm is run with a different value of k, completely different clusters will be discovered. One way to specify the parameter value is the Elbow method.
Cluster assignment
K-means clustering is a method that aims to partition n data points into k clusters in which each data point belongs to the cluster with the nearest mean.
| # | Gender | Age | Income | Cluster |
|---|---|---|---|---|
| 1 | Male | 48 | 1000 | 2 |
| 2 | Male | 33 | 1500 | 3 |
| 3 | Female | 29 | 2000 | 3 |
| 4 | Male | 52 | 3500 | 1 |
| 5 | Female | 41 | 2200 | 2 |
| 6 | Female | 39 | 1800 | 2 |