Questions tagged [gmm]

For questions about Gaussian mixture models (GMMs).

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Finding clusters of 3D points where not all the points belong to a cluster

In my research, I'm trying to find clusters of brain activity, like in the following image: Where the red dots represent the origin of the activity (where the green pole is the direction). So ...
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Implementing Gaussian Mixture Model from scratch on an Image dataset

I recently learned about GMM. From what I understand it basically gives a probability that a given data point belongs to a specific cluster. I need to implement GMM on the STL10 training dataset with ...
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Why Gaussian mixture model uses Expectation maximization instead of Gradient descent?

Why Gaussian mixture model uses Expectation maximization instead of Gradient descent? What other models uses Expectation maximization to find best optimal parameters instead of using gradient descent?
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what are Latent model and Latent Varibles?

what are latent models and why they use Expectation maximization instead of gradient descent to optmize the parameters ? How to interpret and understand whether a hidden varible is present in model or ...
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what kind of distribution is followed by word and sentence vectors generated by TFIDF ,word2vec,glove,bert,flair?

what kind of distribution is followed by word or sentence embedding vectors generated by TFID or pretrained models like word2vec,glove,bert,flair ? is it continuous or discrete or any other ...
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Gaussian Mixture Models Clustering

When using the EM algorithm in Gaussian Mixture Models (GMM), in the E-step, we take each x set in the training dataset to calculate and update the "weight" and parameters of each Gaussian ...
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62 views

Which algorithm or tool to use to classify as good or bad?

I have a feature vector with different data types, Considering all the data in that feature vector. I have to classify as Good or Bad. Which algorithm should be used to just get the output Good or ...