Comparison of hierarchical cluster analysis methods by cophenetic correlation

Comparison of Hierarchical Cluster Analysis Methods Applied to Image Segmentation by Watershed Merging

on the comparison of keyword and semantic-context methods of learning new vocabulary meaning

the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...

Process Model Comparison Based on Cophenetic Distance

The automated comparison of process models has received increasing attention in the last decade, due to the growing existence of process models and repositories, and the consequent need to assess similarities between the underlying processes. Current techniques for process model comparison are either structural (based on graph edit distances), or behavioural (through activity profiles or the an...

A Cluster Identification Method without Using a Threshold of Correlation Coefficient in Hierarchical Cluster Analysis

One of the microarray data analyses using Gene Ontology (GO) [1] is grouping of genes by hierarchical cluster analysis (HCA) followed by extraction of common functions from the grouped genes. When some genes display similar expression changes in response to a situation change, it is thought that those have a similar function or role in a biological process. Therefore, genetic classifications fr...

Cluster Canonical Correlation Analysis

In this paper we present cluster canonical correlation analysis (cluster-CCA) for joint dimensionality reduction of two sets of data points. Unlike the standard pairwise correspondence between the data points, in our problem each set is partitioned into multiple clusters or classes, where the class labels define correspondences between the sets. Cluster-CCA is able to learn discriminant low dim...