Machine Learning Library For Php Based Web System, Currently In Development By Bal Sankar For Bal World Technologies. ML Library Offers Simple Approach For: Naive Bayes Classification DB Scan KMeans SVR And Decision Tree
$parameter_name= new parameter(size);
$parameter_name= new parameter(size, parameter::int method);
Int Method currently on supports Random.
The K-Means algorithm clusters data by trying to separate samples in n groups of equal variance, minimizing a criterion known as the inertia or within-cluster sum-of-squares. This algorithm requires the number of clusters to be specified.
It is a density-based clustering algorithm: given a set of points in some space, it groups together points that are closely packed together (points with many nearby neighbors), marking as outliers points that lie alone in low-density regions (whose nearest neighbors are too far away). DBSCAN is one of the most common clustering algorithms and also most cited in scientific literature.
Classifier based on applying Bayes' theorem with strong (naive) independence assumptions between the features.
Detailed Documentation will be made live soon.
Github Repo Link ( click here ).