noteJ

noteJ

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

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self-organizing map(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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