DANA 4840 — K-means (MacQueen): Worksheet 2, two variables and WSS
K-means partitions points into k groups by alternating: assign each point to the nearest centroid, then recompute centroids as the mean of their members. Wit...
Recent posts
DANA 4840 — Distance measures (Euclidean, Pearson correlation, Gower / daisy)
Clustering uses distances (or dissimilarities) between objects. Below: scale numeric rows, Euclidean distance with dist, Pearson-style distances between row ...
DANA 4840 — Assessing clustering tendency (iris vs random uniform)
Fourth study post for DANA 4840, aligned with the notebook topic assessing_clustering_tendency.Rmd (not the .Rmd itself — this page is the blog explanation)....
DANA 4840 — Worksheet 1a: Gower distance for mixed data
Study sheet for DANA 4840 — Worksheet 1a. Display math below uses MathJax (enabled on this page with math: true in the front matter).
DANA 4840 — Worksheet Ch.1: Simple Matching, Jaccard, shoppers
Study sheet for DANA 4840 — Chapter 1: similarity for binary-coded shoppers (Simple Matching, optional daisy() check), plus the lecture block on similarity v...