Clustering algorithms: their application to gene expression data

J Oyelade, I Isewon, F Oladipupo… - … and Biology insights, 2016 - journals.sagepub.com
Gene expression data hide vital information required to understand the biological process
that takes place in a particular organism in relation to its environment. Deciphering the …

A review of electric load classification in smart grid environment

S Yang, C Shen - Renewable and Sustainable Energy Reviews, 2013 - Elsevier
The load data in smart grid contains a lot of valuable knowledge, which is useful for both
electricity producers and consumers. Load classification is an important issue in load data …

[图书][B] Data clustering: theory, algorithms, and applications

G Gan, C Ma, J Wu - 2020 - SIAM
The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …

[图书][B] Modern algorithms of cluster analysis

ST Wierzchoń, MA Kłopotek - 2018 - Springer
This chapter characterises the scope of this book. It explains the reasons why one should be
interested in cluster analysis, lists major application areas, basic theoretical and practical …

On cluster validity for the fuzzy c-means model

NR Pal, JC Bezdek - IEEE Transactions on Fuzzy systems, 1995 - ieeexplore.ieee.org
Many functionals have been proposed for validation of partitions of object data produced by
the fuzzy c-means (FCM) clustering algorithm. We examine the role a subtle but important …

[PDF][PDF] A fuzzy-logic-based approach to qualitative modeling

M Sugeno, T Yasukawa - IEEE Transactions on fuzzy systems, 1993 - scholar.archive.org
This paper discusses a general approach to quali-tative modeling based on fuzzy logic. The
method of qualitative modeling is divided into two parts: fuzzy modeling and linguistic …

[图书][B] Clustering

R Xu, D Wunsch - 2008 - books.google.com
This is the first book to take a truly comprehensive look at clustering. It begins with an
introduction to cluster analysis and goes on to explore: proximity measures; hierarchical …

Fuzzy c-means clustering with spatial information for image segmentation

KS Chuang, HL Tzeng, S Chen, J Wu… - … medical imaging and …, 2006 - Elsevier
A conventional FCM algorithm does not fully utilize the spatial information in the image. In
this paper, we present a fuzzy c-means (FCM) algorithm that incorporates spatial information …

A fuzzy clustering validity index induced by triple center relation

Y Tang, J Huang, W Pedrycz, B Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The existing clustering validity indexes (CVIs) show some difficulties to produce the correct
cluster number when some cluster centers are close to each other, and the separation …

On fuzzy cluster validity indices

W Wang, Y Zhang - Fuzzy sets and systems, 2007 - Elsevier
Cluster analysis aims at identifying groups of similar objects, and helps to discover
distribution of patterns and interesting correlations in large data sets. Especially, fuzzy …