绘制了一张导图,有不对的地方欢迎指正: 下载地址 机器学习中,特征是很关键的.其中包括,特征的提取和特征的选择.他们是降维的两种方法,但又有所不同: 特征抽取(Feature Extraction):Creatting a subset of new features by combinations of the exsiting features.也就是说,特征抽取后的新特征是原来特征的一个映射. 特征选择(Feature Selection):choosing a subset of all
1. Palindrome Partitioning https://leetcode.com/problems/palindrome-partitioning/ Given a string s, partition s such that every substring of the partition is a palindrome. Return all possible palindrome partitioning of s. For example, given s = "aab&