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雷达卡
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Identify differences between supervised and unsupervised learning
Discuss applications of clustering
Describe different types of clustering algorithms
Run clustering in SAS Visual Analytics (SAS VA)
The objective of supervised learning algorithms is to produce a set of rules that can take new input data and generate an accurate prediction of the target.
Unsupervised learning is utilized for finding patterns and groupings in data rather than for predicting a specific outcome variable based on input data.
Segmentation
Clustering algorithms
Two of the most common connectivity and centroid models are hierarchical clustering and k-means clustering.
Clustering in SAS
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