noteJ

noteJ

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Apriori algorithm Numeric underflow Pre-processing LVQ feature creation multiple classification pre processing MLP calculation association rules feature subset selection data-mining zero count Naïve Bayes classifier Automated Test discretization variable transformation Dimensionality Reduction Nearest Neighbor Classifier stratified sampling Curse of dimensionality

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SOM(1)

  • What is Self-Organizing Map?

    A Self-Organizing Map (SOM) is a type of artificial neural network that is used for unsupervised learning and data visualization. It was introduced by the Finnish computer scientist Teuvo Kohonen in the 1980s. The basic idea behind a SOM is to create a low-dimensional representation of high-dimensional data. The SOM consists of a grid of neurons, where each neuron is associated with a weight vec..

    2023.03.06
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