Journal ArticleDOI
A New Cluster Validity Index for Fuzzy Clustering
TLDR
A new “Graded Distance index” (GD_index) is proposed for computing optimal number of fuzzy clusters for a given data set and the efficiency of this index is compared with well-known existing indices and tested on several data sets.About:
This article is published in IFAC Proceedings Volumes.The article was published on 2013-12-01. It has received 21 citations till now. The article focuses on the topics: Fuzzy clustering & Cluster analysis.read more
Citations
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Journal ArticleDOI
Clustering Algorithms: Their Application to Gene Expression Data
Jelili Oyelade,Itunuoluwa Isewon,Funke Oladipupo,Olufemi Aromolaran,Efosa Uwoghiren,Faridah Ameh,Moses Achas,Ezekiel Adebiyi +7 more
TL;DR: This review examines the various clustering algorithms applicable to the gene expression data in order to discover and provide useful knowledge of the appropriate clustering technique that will guarantee stability and high degree of accuracy in its analysis procedure.
Journal ArticleDOI
An Evolutionary Neuro-Fuzzy C-means Clustering Technique
TL;DR: A Neuro-Fuzzy C-Means Clustering algorithm (NFCM) is presented to resolve the issues mentioned above by adopting a novel Artificial Neural Network (ANN) based clustering approach.
Journal ArticleDOI
Green Energy in Central and Eastern European (CEE) Countries: New Challenges on the Path to Sustainable Development
TL;DR: In this paper, the authors classified the Central and Eastern European (CEE) countries from the point of view of green energy transformation (original indicator) and to predict new threats to Romania, Poland, and Bulgaria.
Journal ArticleDOI
Multi-Objective Optimized Fuzzy Clustering for Detecting Cell Clusters from Single-Cell Expression Profiles
Saurav Mallik,Zhongming Zhao +1 more
TL;DR: A multi-objective optimization-based fuzzy clustering approach for detecting cell clusters from scRNA-seq data that obtained differentially expressed genes (DEGs) using Limma through the comparison of expression of the samples between each resultant cluster and the remaining clusters.
References
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Journal ArticleDOI
A cluster validity index for fuzzy clustering
TL;DR: A new cluster validity index is proposed for the validation of partitions of object data produced by the fuzzy c-means algorithm with superior effectiveness and reliability in comparison to other indices and the robustness of the proposed index in noisy environments.
Book ChapterDOI
What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier
Frank Klawonn,Frank Höppner +1 more
TL;DR: This paper takes a closer look at what the underlying general principle of the fuzzifier is and proposes an improved more general framework that avoids the undesired effects ofThe fuzzifier.
Book ChapterDOI
Very Predictive Ngrams for Space-Limited Probabilistic Models
Paul R. Cohen,Charles Sutton +1 more
TL;DR: The authors proposed a greedy algorithm, vpr, for finding variable-length predictive rules, which performs similarly to fixed-order models but uses fewer parameters and is shown to perform well on English text.
Journal ArticleDOI
Evaluation of prediction error based fuzzy model clustering approaches for multiple model learning
TL;DR: The three step algorithm is assessed for the identification of piecewise auto regressive exogenous systems with unknown number of models and their (unknown)orders and can be extended for trend analysis and generalized principal component analysis.