DANA 4840 — K-means (exploración 2): USArrests, escala, codo y salida de R
Notas de exploración sobre K-means con datos reales (USArrests): qué hace la función, por qué scale(), cómo leer tamaños, centroides, WSS, betweenss/totss y ...
Recent posts
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...
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).