Sentence examples for attributes and cluster from inspiring English sources

Finally, we construct combined distance matrices for combinations of input attributes and cluster based on the combined matrices.

The former makes use of information regarding data attributes and cluster assignment only, while the other also includes class information that may not always exist for comparison.

Sorting and binning algorithms were developed to quantify each attribute and cluster of attributes, resulting in quantitative scores for each.

In both cases, the log-likelihood ratio test indicated that the RPL model was preferred (E0: LLR = 4559.17, 4df; E10: LLR = 3164.47, 4 df) at the 95% confidence level.f To measure whether the clusters as a group contributed to the model, log-likelihood ratio tests were also conducted using the RPL with fuel attributes only and the RPL with fuel attributes and the cluster interactions with Reduce.

Two groups of investigators (6 in total, 3 per group) then took the same list of sorted attributes and independently clustered them into logical categories.

Samples are grouped using k-means clustering based on numeric attributes and k-modes clustering for attributes with categorical values.

According to a user-defined number of target clusters, the SOM is trained and cluster attributes are automatically assigned to the network nodes.

Linguistic principal component analysis is used to reduce the dimensions of the attributes and fuzzy equivalence clustering with linguistic information is used to aggregate the preferences of the decision-makers, respectively.

Presence or absence of peaks was converted to binary strings with equal number of attributes and a hierarchical clustering algorithm applied.

Community and household attributes at baseline were summarized by arm by calculating mean summary measures of cluster level attributes and then calculating the mean of cluster level summary measures for each arm.

Correspondingly, the vertical (left( {r_{i} - s_{i} } right)) axis is obtained by calculating the difference between (r_{i}) and (s_{i}) which will separate the attributes into causal cluster and effect cluster.