Single-Linkage Clustering
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High Quality Content by WIKIPEDIA articles! In cluster analysis, single linkage or nearest neighbour is a method of calculating distances between clusters in hierarchical clustering. In single linkage, the distance between two clusters is computed as the distance between the two closest elements in the two clusters.The following algorithm is an agglomerative scheme that erases rows and columns in a proximity matrix as old clusters are merged into new ones. The N times N proximity matrix D contains all distances d(i,j). The clusterings are assigned sequence numbers 0,1,......, (n 1) and L(k) is...
High Quality Content by WIKIPEDIA articles! In cluster analysis, single linkage or nearest neighbour is a method of calculating distances between clusters in hierarchical clustering. In single linkage, the distance between two clusters is computed as the distance between the two closest elements in the two clusters.The following algorithm is an agglomerative scheme that erases rows and columns in a proximity matrix as old clusters are merged into new ones. The N times N proximity matrix D contains all distances d(i,j). The clusterings are assigned sequence numbers 0,1,......, (n 1) and L(k) is the level of the kth clustering. A cluster with sequence number m is denoted (m) and the proximity between clusters (r) and (s) is denoted d[(r),(s)].
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