PROC MODECLUS is applied to a multivariate dataset. What type of clustering algorithm does PROC MODECLUS implement?
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Short Explanation and Infographic
Here's the deal — c is correct because PROC MODECLUS implements nonparametric mode-seeking (density-based) clustering. It estimates the density at each point using kernel density estimation and identifies clusters as modes (local density peaks) with observations assigned to nearby modes.
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Full Explanation
C is correct because PROC MODECLUS implements nonparametric mode-seeking (density-based) clustering. It estimates the density at each point using kernel density estimation and identifies clusters as modes (local density peaks) with observations assigned to nearby modes. This approach can find clusters of arbitrary shape and automatically determines cluster count. A (k-means) is PROC FASTCLUS or PROC HPCLUS. B (Ward's) is PROC CLUSTER with METHOD=WARD. D (Gaussian mixture) is not a standard SAS base procedure (available in SAS Enterprise Miner).