Matlab Clustering technique with textual data

3 次查看（过去 30 天）
Brian
Brian 2016-12-12
回答： mizuki 2016-12-20
Hi, I am trying to figure out the best way to cluster numeric information (stock returns) using a series of textual information. For instance, let's say I have 10 sectors with of stock returns that I'd like to cluster to 3 distinct groups. My first thought was to use the K-means clustering algorithm from the "Stats and ML" toolbox however, it doesn't take textual information as a descriptor.
Please advise.
Example data set
Industry, Return
Financials,2%
Consumer Disc,3%
Consumer Staples,4.5%
Energy,1%
Health Care,1.5%
Industrials,2.2%
Info Tech,3.7%
Materials,4.8%
Telecom,-2%
Utilities,-1%

请先登录，再回答此问题。

回答（1 个）

mizuki
mizuki 2016-12-20
Make the textual data categorical to reduce information.

类别

在 Help Center 和 File Exchange 中查找有关 k-Means and k-Medoids Clustering 的更多信息

标签

产品

Community Treasure Hunt

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

Start Hunting!

Translated by