Analytics Extension | WSO2 Store

kMeansIncremental
Performs K-Means clustering on a streaming data set.
Data points can be of any dimension and the dimensionality is calculated from number of parameters.
All data points to be processed by a query should be of the same dimensionality.
The Euclidean distance is taken as the distance metric.
The algorithm resembles Sequential K-Means Clustering at https://www.cs.princeton.edu/courses/archive/fall08/cos436/Duda/C/sk_means.html
kMeansMiniBatch
Performs K-Means clustering on a streaming data set.
Data points can be of any dimension and the dimensionality is calculated from number of parameters.
All data points to be processed in a single query should be of the same dimensionality.
The Euclidean distance is taken as the distance metric.
The algorithm resembles mini-batch K-Means. (refer Web-Scale K-Means Clustering by D.Sculley, Google, Inc.).
perceptronClassifier
This extension predicts using a linear binary classification Perceptron model.
updatePerceptronClassifier
This extension builds/updates a linear binary classification Perceptron model.

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