K-Means Clustering
quantlib-ml
K-Means Clustering
Partitions data into K clusters using centroids. Useful for customer segmentation, portfolio grouping, and risk bucketing. Returns cluster labels and inertia (within-cluster sum of squares). [Tier: ENTERPRISE, Credits: 10]
POST
K-Means Clustering
Authorizations
API key for authentication. Get your key at https://api.fincept.in/auth/register
Body
application/json
