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For example, we also performed unsupervised hierarchical quality threshold (QT) clustering to identify 23 different MDP classes.
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In a similar way, Spanakis et al. [125] improved hierarchical clustering quality by using a text representation based on concepts and other Wikipedia features, such as links and categories.
Chipster's tools for unsupervised clustering include K-means, hierarchical and quality threshold clustering and SOM.
Additionally, the present study was not powered to examine structural pathways among the hierarchical assessment of quality of life.
For de novo assembly of the C. coli BFR-CA-9557 BFR-CA-9557 BFR-CA-9557 Hierarchical genome Assembly Process (RS_HGAP_Assembly.2) was used withestandard parameters (for details on algorithms please read https://github.com/PacificBiosciences/Bioinformatics-Training/wiki/Hierarchical-Analysis).
Second, in the EQ formalism the attribute that forms part of a traditional character description is implicit in the hierarchical structure of the quality ontology (Figure 2), and hence inferring that two EQ descriptions represent alternative evolutionary states for a character is not straightforward.
To reduce error propagation, the DTs and their subsidence rates are detected using the hierarchical analysis strategy and quality assessments on each SPP subgroup.
Streaming tests show that video streaming applications perform well in terms of received video quality if hierarchical clusters considering delay proximity are used as underlying network architecture.
Hierarchical clustering provides higher quality on likelihood classification for small data sets, whereas k-means is less sensitive to outliers and more efficient for processing large sample sizes (>500) (Mooi and Sarstedt 2011; Abbas 2008).
They also reveal the key aspects of Becker's hierarchical belief of 'moral quality', of those high in ranks, in this case the executive, which imposes definitions and explanations about facts and events on community members.
This paper presents a hierarchical decision procedure for quality improvement that can enhance the power of the Six Sigma approach dramatically by capturing the domain-specific knowledge for the design, operation, and control of petrochemical processes and integrating them into a hierarchy of decisions.
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