K-Means Clustering Animation Reflections
· 2 min read
I watched two animations of the k-means clustering algorithm to see how it repeatedly assigns data points to clusters and updates their centroids.
I watched two animations of the k-means clustering algorithm to see how it repeatedly assigns data points to clusters and updates their centroids.
I used a small table of pathological test results to calculate the Jaccard distance and corresponding Jaccard similarity coefficient for three pairs of individuals.