A key step in deploying clustering is deciding which algorithm to use. One of the most common is k-means, which works by computing the “distances” (i.e., similarity) between data points and ...

The data set includes 178 wines grown in the same region in Italy. 13 attributes which are chemical analysis results of wines were measured from each wine. We will use this data set for exploring the ...

In the proposed algorithm, they extend the K-Means clustering process to calculate a weight for each dimension in each cluster and use the weight values to identify the subsets of important ...