K-Means Clustering
Euclidean distances
It is commonly used as a method of measuring dissimilarity between quantitative observations.
Euclidean distance can be used to measure the distance between _____ in cluster analysis.
Observations
The data preparation technique used in market segmentation to divide consumers into different homogeneous groups is called
cluster analysis
The strength of a cluster can be measured by comparing the average distance in a cluster to the distance between cluster centroids. One rule of thumb is that the ratio for between-cluster distance to within-cluster distance should exceed what value for useful clusters?
1
In k-means clustering, k represents the
number of clusters
k-means clustering is the process of
organizing observations into distinct groups based on a measure of similarity
A method for modifying variables that reduces bias prior to cluster analysis
standardization
When clustering only by dummy variables that represent categorical variables, the simplest measure of similarity between two observations is called the _____.
the matching coefficient