Data Reduction Algorithms Inquiry.

2017 8 3
0 个回答
更新时间：2017 8 3
3 次查看（30 天）

0 个投票

1. What would be good algorithms for identifying contributible parameters to an output? 2. What would be good algorithms for reducing data points while still retaining reasonable quality?
Thanks very much for your help in advance.

2 个评论
显示 无 隐藏 无

dong huang
dong huang 2017-8-3
Ex for 1.:I have a data log which contains 100s of parameters. Among these I am interested in 1 parameter and I want to know which parameters are contributible to this parameter. Probably PCA mnight qualify for this but I would like to know if there are more algorithm than this.
Ex for 2.: I have a data log which contains millions of data points. Among these data points, some are just repeats, some are similar, and some good information. Data this size is too large to be manageable, so it needs to be reduced. Roughly, K-means can help but I was wondering if there are better algorithm than it.
KSSV
KSSV 2017-8-3
You can remove repeated parameters using unique. And to select dominant features use pca.

请先登录，再进行评论。

请先登录，再回答此问题。

回答（0 个）

类别

在 帮助中心 和 File Exchange 中查找有关 Dimensionality Reduction and Feature Extraction 的更多信息

标签

评论：

KSSV
KSSV
2017-8-3

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by