car-datascience-toolkit - 源码 - 源码 - 免费下载

car-datascience-toolkit

文件大小： unknow

源码售价： 5 个金币积分规则积分充值

资源说明：Simple implementations of data science tools for use by newspaper reporters.

h1. CAR Data Science Toolkit

The CAR datas science toolkit is a collection of common data science tools and algorithms, implemented and documented as simply as possible for data journalists to learn from and understand.

h3. Tools currently implemented include:

* Clustering algorithms: DBSCAN; k-means clustering
* Classification: Naive Bayes classifier; k-nearest neighbors
* Similarity metrics: Euclidean distance; Jaccard similarity; cosine similarity; Pearson similarity; Hamming distance
* MapReduce workflow that calculates pairwise document similarity based on TF-IDF weights.

部分文件列表（点击文件名可查看文件内容）

					
									本源码包内暂不包含可直接显示的源代码文件，请下载源码包。