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# Python 3 Implementation of Apriori algorithm This program is based on [Aaron Zira's implementation of Apriori algorithm](https://github.com/aaronzira/apriori) and is adapted for use in other python 3 programs ## Depend
Update : 2025-04-22 Size : 1.26mb Publisher : wingnut

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Mathimatics-Numerical algorithms
Update : 2025-04-22 Size : 2.75mb Publisher : fufu12345

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This code can effectively solve the combinatorial optimization problem of traveling salesman problem.
Update : 2025-04-22 Size : 4kb Publisher : 吴保林

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Hopfield neural network
Update : 2025-04-22 Size : 33kb Publisher : 麻发

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The accuracy of the improved DNN is ninety-eight percent, with annotations
Update : 2025-04-22 Size : 1kb Publisher : tominent

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The recognition rate is 85%. The famous dog and dog algorithm on kaggle is very convenient for us to see the classification results. Each epch needs about 22s (GTX1050Ti 4G)
Update : 2025-04-22 Size : 1kb Publisher : AIW_thomas

for machine learning
Update : 2025-04-22 Size : 7.3mb Publisher : jenny5

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Matlab implements co-training algorithm, data set mutiple+Features.
Update : 2025-04-22 Size : 697kb Publisher : haiyunzhangzhang

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LLE is used to deal with dimensionality reduction of high-dimensional data. It is proved that the program runs well.
Update : 2025-04-22 Size : 1kb Publisher : YZW1014

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An autoencoder, autoassociator or Diabolo network is an artificial neural network used for unsupervised learning of efficient codings. The aim of an autoencoder is to learn a representation (encoding) for a set of data,
Update : 2025-04-22 Size : 11.67mb Publisher : Null姬

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A dense crowd flow model based on cellular automata is applied to risk stampede assessment for large-scale social activities.
Update : 2025-04-22 Size : 37.84mb Publisher : hust_zyy

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Mnist complete dataset has been tested and applied.
Update : 2025-04-22 Size : 11.06mb Publisher : 慕小鱼
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