Clustering Workbench for an insurance risk
Simulate an insurance risk live in your browser. This runs the real Clustering Workbench solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.
Controls
Presets
Lloyd's algorithm: assign each point to its nearest centroid, then move each centroid to the mean of its members. Repeat until stable. Try setting k different from the true cluster count.
Data Inspector
Governing equation
Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.
Controls
Presets
PCA finds the directions along which data varies most. The eigenvectors of the covariance matrix are the principal components (cyan = most variance, green = least), and their eigenvalues are the variances along each. Projecting onto the top components is the basis of dimensionality reduction.
Data Inspector
Governing equation
Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.
About this simulation
The full Clustering Workbench tool models an insurance risk with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.
More you can do with Clustering Workbench
Other ways to simulate an insurance risk
Frequently asked questions
- How do I simulate an insurance risk?
- Open this page and use the live Clustering Workbench tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
- Is it free?
- Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
- Can I use my own numbers?
- Absolutely — every input is adjustable, and with data import you can drive an insurance risk from your own measurements.