Sentence examples for clustering elements from inspiring English sources

E k = (x ji − R lk ) 2 where, xji are the clustering elements in 'x' and Rlk is the clustered element in the kth level of the QT.

The clustering elements are selected from the gene expression database using the random values of an index matrix.

The next set of clustering elements is selected by finding the closest 2 cluster indices among the best 'k' clusters.

In the inner gene clustering, initially the root node is created and then the 4 clustering elements that are selected randomly from the first type gene expression data.

Initially, a set of clustering elements are selected randomly from the microarray gene expression data by using the index matrix, then they are clustered.

Then, the closest index of all best 'k' clusters is calculated, and is used to obtain the next set of clustering elements from the database.

Different from the existing methods that employ single word or n-gram as the clustering element, we use keyterms (i.e., the noun words and named entities) in this paper.

Three behaviors (on the sea surface, bottom phase, and dive ascent) were well categorized by k-means clustering: element 9, mainly element 10, and element 7 respectively.

1 0.1 + ∑ w (C ) where w = { 1 if   C [ i ] = R def 0 otherwise } is the weight of the each clustering element and R def is the defined cluster used for the semi-supervised hierarchical clustering.

The complete results up to 17 cluster elements are presented.

So including them in cluster 6 will not have big influence on similarity of cluster elements.