The data can be run directly. It is the source code of MATLAB. It realizes the recognition of MNIST data set, which is a common handwritten character in AI field. Generally, it is done by python. There are few matlab implementations, and even if there is one, it often reports an error. So here is the routine and data set! Data set is also the MNIST format that MATLAB can read directly! Download this data set without downloading it separately, saving time.

Filename	Size	Update
handwritten-digit-recognition-using-Naive-Bayes-classifier-master	0	2019-10-29
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\calculateProbabilityForGivenNumber.m	463	2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\Data Mining Course - Naive Bayes Classification for MNIST Dataset.ps	17781	2018-09-26
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\generateBernoulliProbabilityMatrix.m	860	2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\predictNumber.m	240	2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\probMatrix.mat	30842	2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\Readme_dataFormat.txt	3169	2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\readMNIST.m	2470	2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\recogChar.m	1438	2018-09-26
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\t10k-images.idx3-ubyte	7840016	2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\t10k-labels.idx1-ubyte	10008	2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\train-images.idx3-ubyte	47040016	2018-02-14
handwritten-digit-recognition-using-Naive-Bayes-classifier-master\train-labels.idx1-ubyte	60008	2018-02-14

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．