A dissimilarity Jensen–Shannon divergence measure for intuitionistic fuzzy sets
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DOI: 10.1002/int.22026
Abstract: The need of suitable divergence measures arise as they play an important role in discrimination of two probability distributions. The present communication is devoted to the introduction of one such divergence measure using Jensen inequality… read more here.
Keywords: dissimilarity measure; divergence measure; measure; divergence ... See more keywords
An expressive dissimilarity measure for relational clustering using neighbourhood trees
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DOI: 10.1007/s10994-017-5644-6
Abstract: Clustering is an underspecified task: there are no universal criteria for what makes a good clustering. This is especially true for relational data, where similarity can be based on the features of individuals, the relationships… read more here.
Keywords: data sets; dissimilarity measure; measure relational; relational clustering ... See more keywords
Potential of dissimilarity measure-based computation of protein thermal stability data for determining protein interactions.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad143
Abstract: Determining the interacting proteins in multiprotein complexes can be technically challenging. An emerging biochemical approach to this end is based on the 'thermal proximity co-aggregation' (TPCA) phenomenon. Accordingly, when two or more proteins interact to… read more here.
Keywords: dissimilarity measure; measure based; dissimilarity; protein interactions ... See more keywords
Graph Enhanced Fuzzy Clustering for Categorical Data Using a Bayesian Dissimilarity Measure
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DOI: 10.1109/tfuzz.2022.3189831
Abstract: Categorical data are widely available in many real-world applications, and to discover valuable patterns in such data by clustering is of great importance. However, the lack of a decent quantitative relationship among categorical values makes… read more here.
Keywords: fuzzy clustering; bayesian dissimilarity; categorical data; dissimilarity measure ... See more keywords
Transition Permutation Entropy and Transition Dissimilarity Measure: Efficient Tools for Fault Detection of Railway Vehicle Systems
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DOI: 10.1109/tii.2021.3088415
Abstract: The ordinal pattern is an essential tool to extract the information in time series. However, little attention has been paid to the transition probability matrix of ordinal patterns, which affects the accuracy and comprehensiveness of… read more here.
Keywords: transition permutation; permutation entropy; dissimilarity; transition dissimilarity ... See more keywords