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Clustering algorithms group similar data points together from "summary" of Data Science and Big Data Analytics by EMC Education Services
Clustering algorithms are an essential tool in data science that help in identifying similarities among data points. These algorithms work by grouping together data points that share similar characteristics or attributes. The goal is to create clusters or groups of data points that are more similar to each other than to those in other clusters. By doing so, clustering algorithms can help uncover patterns and relationships within the data that may not be immediately apparent. There are various clustering algorithms available, each with its unique approach to grouping data points. Some algorithms, such as K-means clustering, partition the data into a predetermined number of clusters based on the distance between data points. Other algorithms, like hierarchical clustering, create a tree-like structure of clusters by recursively merging o...
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