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Identify the clustering method which takes care of variance in data(1 Point)Decision treeGaussian mixture modelK meansAll of the above

Question

Identify the clustering method which takes care of variance in data(1 Point)Decision treeGaussian mixture modelK meansAll of the above

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Solution

The clustering method which takes care of variance in data is the Gaussian Mixture Model. This model is a probabilistic model that assumes all the data points are generated from a mixture of a finite number of Gaussian distributions with unknown parameters. It is capable of incorporating the covariance between the points into the model to identify more complex clusters. Unlike K-means which assumes that each cluster's variance is spherical and equal, the Gaussian Mixture Model takes into account the variance of the data. Decision trees, on the other hand, are typically used for classification problems rather than clustering.

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