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 ...
Recent posts
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...
DANA 4840 — R: basic structures (refresher) and Worksheet 0a dataset
Study sheet for DANA 4840: R objects (vector, list, matrix, array, data.frame, factors) and Worksheet 0a (building the mixed dataset, reading .txt, .xlsx, an...