Specialization: Data Science by Johns Hopkins University.Course: Machine Learning: Master the Fundamentals by Stanford.Km.res$centers # Murder Assault UrbanPop RapeĬoursera - Online Courses and Specialization Data science Km.res$cluster head(km.res$cluster, 4) # Alabama Alaska Arizona Arkansas These components can be accessed as follow: # Cluster number for each of the observations size: The number of observations in each cluster.betweenss: The between-cluster sum of squares, i.e.
TSS measures the total variance in the data. The standard algorithm is the Hartigan-Wong algorithm (Hartigan and Wong 1979), which defines the total within-cluster variation as the sum of squared distances Euclidean distances between items and the corresponding centroid: There are several k-means algorithms available. The basic idea behind k-means clustering consists of defining clusters so that the total intra-cluster variation (known as total within-cluster variation) is minimized.
