Journal ArticleDOI
Validity index for crisp and fuzzy clusters
TLDR
A cluster validity index and its fuzzification is described, which can provide a measure of goodness of clustering on different partitions of a data set, and results demonstrating the superiority of the PBM-index in appropriately determining the number of clusters are provided.About:
This article is published in Pattern Recognition.The article was published on 2004-03-01. It has received 710 citations till now. The article focuses on the topics: Fuzzy clustering & Correlation clustering.read more
Citations
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Journal ArticleDOI
A multiobjective approach to MR brain image segmentation
TL;DR: A novel multiobjective real coded genetic fuzzy clustering scheme for segmentation of multispectral magnetic resonance image (MRI) of the human brain that is able to automatically evolve the number of clusters along with the clustering result.
Journal ArticleDOI
Automated Quantification of Clinically Significant Colors in Dermoscopy Images and Its Application to Skin Lesion Classification
M. Emre Celebi,Azaria Zornberg +1 more
TL;DR: A machine learning approach to the automated quantification of clinically significant colors in dermoscopy images and the mathematical equation given by the regression algorithm is used for two-class (benign versus malignant) classification.
Journal ArticleDOI
Comparison of Internal Clustering Validation Indices for Prototype-Based Clustering
TL;DR: Empirically, characteristics of a representative set of internal clustering validation indices with many datasets are evaluated to evaluate the quality of validation indices and on the behavior of different variants of clustering algorithms.
Journal ArticleDOI
Segmentation of tomato leaf images based on adaptive clustering number of K-means algorithm
TL;DR: Compared with the traditional K-means algorithm, DBSCAN algorithm, Mean Shift algorithm and ExG-ExR color indices method, the proposed algorithm can successfully segment the tomato leaf images more precisely and efficiently.
Journal ArticleDOI
A wavelet-based methodology for grinding wheel condition monitoring
TL;DR: In this paper, a wavelet-based methodology was proposed for the monitoring of grinding wheel condition based on acoustic emission (AE) signals, which achieved 97% clustering accuracy for the high material removal rate condition, 86.7% for the low material removal ratio condition, and 76.7 % for the combined grinding conditions if the base wavelet, the decomposition level, and the GA parameters were properly selected.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book
Applied Multivariate Statistical Analysis
R. A. Johnson,Dean W. Wichern +1 more
TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.
Journal ArticleDOI
Applied Multivariate Statistical Analysis.
TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.