A Mathematical Study of Glaucoma using Machine Learning Algorithms for Retina

Abstract

Glaucoma is a category of visual disorders represented by optic nerve neuropathy, a means of gradually declining optic nerve neuropathy. In ground vision, resulting in sight loss. In this article, a novel retinal therapeutic support vector machine for glaucoma using a machine Algorithms for learning are conservative. The algorithm has sufficient pragmatism; the correlation clustering mode is subsequently retained The estimated preparation deterrent on a data set has a 91 percent achievement rate on a data set. Consolidation of 500 realistic resolute and glaucoma retina images; hence, depending on the cluster, the computational advantage of In glaucoma therapy, the overlapping device pedestal on the machine learning algorithm has maximum output.