05 2016 档案

摘要:10. Dimensionality Reduction Content 10. Dimensionality Reduction 10.1 Motivation 10.1.1 Motivation one: Data Compression 10.2.2 Motivation two: Visua 阅读全文
posted @ 2016-05-24 00:42 llhthinker 阅读(8354) 评论(0) 推荐(1) 编辑
摘要:9. Clustering Content 9. Clustering 9.1 Supervised Learning and Unsupervised Learning 9.2 K-means algorithm(代码地址:https://github.com/llhthinker/Machine 阅读全文
posted @ 2016-05-15 01:15 llhthinker 阅读(10427) 评论(0) 推荐(0) 编辑

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