42 lines
1.0 KiB
Mathematica
42 lines
1.0 KiB
Mathematica
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classdef GMM < handle
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%GMM Gaussian Mixture Model
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properties (Access = public)
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weight = 1;
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center = 1;
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var = [];
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winCounter = 1;
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inferenceSum = 0;
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surviveCounter = 0;
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yCount;
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inference = 0;
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hyperVolume = 0;
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end
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properties (Access = private)
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nFeatures;
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end
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methods (Access = public)
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function self = GMM(x)
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%GMM
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% x (vector)
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% A data-sample (without its target) representing the
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% initial GMM center
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self.nFeatures = size(x, 2);
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self.center = x;
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self.var = 0.01 * ones(1, self.nFeatures);
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end
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function computeInference(self, x)
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c = self.center;
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dist = (x - c) .^ 2 ./ self.var;
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[self.inference, maxMahalDistIdx] = min(exp(-0.5 * dist));
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self.hyperVolume = self.var(maxMahalDistIdx);
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end
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end
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end
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