Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that groups similar objects into groups called clusters. The endpoint is a set of clusters, where each cluster is distinct from each other cluster, and the objects within each cluster are broadly similar to each other. This is used in SEO consultant service. Strategies for hierarchical clustering generally fall into two types: Agglomerative: This is a “bottom-up” approach: each observation starts in its own cluster, and pairs of clusters […]

Topic models provide a simple way to analyze large volumes of unlabeled text. Topic modeling is a method for unsupervised classification of documents. Latent Dirichlet allocation (LDA) is a particularly popular method for fitting a topic model. It treats each document as a mixture of topics, and each topic as a mixture of words. This allows documents to “overlap” each other in terms of content, rather than being separated into discrete groups, in a way […]