Finding the K in K-means by Parametric Bootstrap

Win-Vector Blog 2016-02-09

Summary:

One of the trickier tasks in clustering is determining the appropriate number of clusters. Domain-specific knowledge is always best, when you have it, but there are a number of heuristics for getting at the likely number of clusters in your data. We cover a few of them in Chapter 8 (available as a free sample … Continue reading Finding the K in K-means by Parametric Bootstrap

Link:

http://www.win-vector.com/blog/2016/02/finding-the-k-in-k-means-by-parametric-bootstrap/

From feeds:

Statistics and Visualization » Win-Vector Blog

Tags:

clustering

Authors:

Nina Zumel

Date tagged:

02/09/2016, 19:01

Date published:

02/09/2016, 18:39