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n the process of distributing an essential oil among several solvents by using the various soluble properties of the components within the essential oil.
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combination of partitional and fuzzy algorithms, among others) [45-47], supervised learning (i.
Many papers proposed clustering algorithms depend on the density-based, Partitional, and Hierarchical types.
This paper is structured as follows: In section 2 we review some of the existing works on Minimum Spanning Tree based hierarchical clustering algorithms and center-based partitional clustering algorithms.
Partitional clustering methods can also be used to obtain a hierarchical clustering solution via repeated application of the flat partitional algorithm.
First, we applied CLUTO soft using a hierarchical partitional clustering algorithm (with cosim similarity and K=10 clusters) to cluster learners' sessions in the training set.
Clustering methods can be separated into two categories: partitional methods that provide a single partition of the solutions and hierarchical methods that provide a series of nested partitions.
partitional clustering: all clusters are determined in one step.
However, additional data using artificial intelligence techniques such as partitional clustering analysis or unsupervised pattern recognition for classification of AE events may discriminate between various failure micro-mechanisms [25], and give more comprehensive view on the sequence of events during facture process of C/C composites.
Partitional clustering algorithms identify the partition that optimizes (usually locally) a clustering criterion.