基于python,利用主成分分析(PCA)和K近邻算法(KNN)在MNIST手写数据集上进行了分类。
经过PCA降维,最终的KNN在100维的特征空间实现了超过97%的分类精度。
Based on python, it uses principal component analysis (PCA) and K nearest neighbor algorithm (KNN) to classify on the MNIST handwritten data set.
After PCA dimensionality reduction, the final KNN achieved a classification accuracy of over 97% in a 100-dimensional feature space. (2020-10-27, Python, 11328KB, 下载9次)
Apriori和FP树
Apriori and FP-Tree (2019-03-15, Java, 0KB, 下载0次)
bruteforge,一个选择性数据组合器。
bruteforge, a selective data combinator. (2017-04-11, C, 61KB, 下载0次)
使用Javascript进行探索性数据分析-[https:medium.com@joaogabriellima an%C3%A1lise exploratt%C3%B3ria de-dad...](https:media.com@Joaogabrielima an%C3%Alise explorat%C3%B3aria de-dados-com-Javascript-parte-1-manipula%C3%A7%C3%A3o-de-dados-81c8471685c7)
Exploratory Data Analysis with Javascript - <https://medium.com/@joaogabriellima/an%C3%A1lise-explorat%C3%B3ria-de-dados- com-javascript-parte-1-manipula%C3%A7%C3%A3o-de-dados-81c8471685c7> (2017-10-07, JavaScript, 10KB, 下载0次)
A1基础数据分析,,
A1-basic-data-analysis,, (2015-05-27, HTML, 32720KB, 下载0次)
SPSS论文数据分析实战
Practical Analysis of SPSS Paper Data (2022-12-07, Others, 0KB, 下载0次)