Method and system of dimensional clustering
OwnerShohei Hidaka, Neeraj Kashyapinventors
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Abstract
In one example aspect, a method useful for increasing the processing speed of clustering numerical data includes the step of obtaining a data set. The data set includes one or more vector data points of the same dimension. The method includes the step of determining a set of local pointwise dimensional properties over the points in data set. The method includes the step of clustering the data set based on the local fractal dimensional properties. The method includes the step of using the local fractal dimensional properties of the clusters to classify a set of new data points. The set of new data point are generated by the same dynamical or stochastic process as the original data set.
Claims3
A computerized method useful for increasing the speed of processing clustered data comprising:
- obtaining a data set, wherein the data set comprises one or more vector data points of the same dimension;
- determining a set of local pointwise dimensional properties over the points in data set;
- clustering the data set based on the local fractal dimensional properties;
- using the local fractal dimensional properties of the clusters to classify a set of new data points, wherein the set of new data point are generated by the same dynamical or stochastic process as the original data set.
Dependencies are inferred from the claim text.