Dendrogram

In data science, a dendrogram is a tree-like diagram that represents the hierarchical relationship between different objects. It is commonly used in cluster analysis to visualize the similarity between data points. The dendrogram is constructed by iteratively merging the most similar objects into clusters until all objects are in a single cluster. The resulting tree structure can be cut at different levels to form different clusters. The height of the cut determines the level of similarity required to form a cluster. Dendrograms are useful for identifying groups of similar objects and for understanding the structure of complex data sets.

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Likelihood: Likelihood is a statistical concept that refers to the probability of observing a set of data given a specific hypothesis or model. It is used to assess the plausibility of different models or hypotheses based on the observed data. In other ... Read More >>
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Dendrogram

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