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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.

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Citations
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Book ChapterDOI

Modelling and clustering of gene expressions using rbfs and a shape similarity metric

TL;DR: A novel approach for gene expression time-series modelling and clustering using neural networks and a shape similarity metric is introduced and it is identified that the use of the correlation coefficient of the derivative of the modelled profiles allows the comparison of profiles based on their shapes and the distributions of time points.
Journal ArticleDOI

A Fast Algorithm to Initialize Cluster Centroids in Fuzzy Clustering Applications

TL;DR: The InoFrep is a novel data-dependent initialization algorithm for improving computational efficiency and robustness in prototype-based hard and fuzzy clustering and can be applied to multidimensional large datasets because of its shorter initialization time and independence from dimensionality due to working with only one feature with the highest number of peaks.

Using latent profile methodology to obtain a midwestern community college student typology

Karen R. Hum
TL;DR: In this article, the authors present a list of FIGURE FIGURES and ACKNOWLEDGEMENTS for the first time, including the first XI CHAPTER and the first chapter.
Dissertation

Evaluating Clusterings by Estimating Clarity

TL;DR: It is shown that informativeness can be used to select clusterings which lead to superior spam filters when few true labels are available and its use in a realistic application: email spam filtering.
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

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.