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摘要: The 10th international conference on machine vision; C类 Methodology: 非主流方法 2 stages: 1. convert time series data to recurrence plot. 数值*时间长度 > 时间长度*时间 阅读全文
posted @ 2020-01-27 19:09 keeps_you_warm 阅读(194) 评论(0) 推荐(0)
摘要: Dimensionality in statistics refers to how many attributes a dataset has. For example, healthcare data is notorious for having vast amounts of variabl 阅读全文
posted @ 2020-01-24 19:05 keeps_you_warm 阅读(269) 评论(0) 推荐(0)
摘要: from Django official document; Django 最初被设计用于具有快速开发需求的新闻类站点,目的是要实现简单快捷的网站开发。 from 编写你的第一个 Django 应用,第 1 部分. the first Django startProject 1. create ou 阅读全文
posted @ 2020-01-23 18:50 keeps_you_warm 阅读(368) 评论(0) 推荐(0)
摘要: pip install altair pip install altair_viewer Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite, and th 阅读全文
posted @ 2020-01-23 17:24 keeps_you_warm 阅读(204) 评论(0) 推荐(0)
摘要: tasks: 1. unsupervised knn https://scikit-learn.org/stable/modules/neighbors.html#unsupervised-neighbors 2. isomap 3. largevis 4. line 5.umap 1. how t 阅读全文
posted @ 2020-01-22 17:59 keeps_you_warm 阅读(1203) 评论(0) 推荐(0)
摘要: MDS, multidimensional scaling, 线性降维方法, 目的就是使得降维之后的点两两之间的距离尽量不变(也就是和在原是空间中对应的两个点之间的距离要差不多)。只是 MDS 是针对欧氏空间设计的,对于距离的计算也是使用欧氏距离来完成的。如果数据分布在一个流形上的话,欧氏距离就不适 阅读全文
posted @ 2020-01-22 00:16 keeps_you_warm 阅读(248) 评论(0) 推荐(0)
摘要: 1. The difference between classification and clustering. from here. Classification: supervised learning with labels. Clustering: unsupervised learning 阅读全文
posted @ 2020-01-21 23:40 keeps_you_warm 阅读(2657) 评论(0) 推荐(0)
摘要: website; A visual survey of visualization techniques for time-oriented data. 1. Left pannel filter of visualization techniques; Number of variables: u 阅读全文
posted @ 2020-01-21 22:41 keeps_you_warm 阅读(254) 评论(0) 推荐(0)
摘要: 1. 你一定要看计算机领域的文章. 如果你是看一堆应用,你最终还是会不知道怎么做. 从计算机到energy是降维打击, 当你学习了计算机的hot skill,再去做应用很容易. 2. 搞研究的思路: 大量阅读文章,然后形成思路,然后justify每一步的合理性和可行性. 你需要critical th 阅读全文
posted @ 2020-01-21 20:31 keeps_you_warm 阅读(216) 评论(0) 推荐(0)
摘要: Don't look back. Don't hesitate, just do it. t-SNE原理 from here. 1. tsne is strictly used for visualization. and we can only see things in up to 3 dime 阅读全文
posted @ 2020-01-20 22:34 keeps_you_warm 阅读(189) 评论(0) 推荐(0)
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