
clusfind
 Referenced in 476 articles
[sw27805]
 FANNY.FOR (a new method for fuzzy clustering); Chapter 5+6 : TWINS.FOR (hierarchical clustering...

e1071
 Referenced in 116 articles
[sw07985]
 class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged...

Fuzzy Logic Toolbox
 Referenced in 72 articles
[sw07379]
 provided for many common methods, including fuzzy clustering and adaptive neurofuzzy learning. The toolbox lets ... then implement these rules in a fuzzy inference system...

fclust
 Referenced in 9 articles
[sw22644]
 package fclust: A toolbox for fuzzy clustering using the R programming language. Fuzzy clustering ... this purpose, a new toolbox for fuzzy clustering using the R programming language is presented ... called fclust, contains a suit of fuzzy clustering algorithms, fuzzy cluster validity indices and visualization ... tools for fuzzy clustering results...

PFCM
 Referenced in 16 articles
[sw02421]
 proximitybased fuzzy clustering for usercentered web applications. In last years, the Internet ... navigation. We define an extension of fuzzy Cmeans algorithm, namely proximity fuzzy Cmeans ... dissimilarity as user’s feedback on the clusters. We present the theoretical framework of this...

CECM
 Referenced in 12 articles
[sw06446]
 algorithm In clustering applications, prior knowledge about cluster membership is sometimes available. To integrate such ... been proposed in the hard or fuzzy clustering frameworks. This approach is extended to evidential...

GenSoFNN
 Referenced in 9 articles
[sw08761]
 cluster analysis is first performed on the training data and the fuzzy rules are subsequently ... connections of these computed clusters. However, most existing neural fuzzy systems (whether they belong ... number of clusters to be computed. Hence, a novel neural fuzzy system that is immune ... technique known as discrete incremental clustering (DIC). The fuzzy rule base of the GenSoFNN network...

fc
 Referenced in 5 articles
[sw22645]
 fuzzy clustering (fc) package contains wellknown algorithms like the fuzzy cmeans algorithm ... algorithms I recommend to read our fuzzy clustering book. The package consists of a number...

DENFIS
 Referenced in 57 articles
[sw24183]
 Fuzzy rules can also be extracted during or after the learning process. An evolving clustering...

FCM4DD
 Referenced in 4 articles
[sw40634]
 Fuzzy cmeans clustering algorithm for directional data (FCM4DD). Cluster analysis is a useful tool ... commonly in data analysis. The purpose of cluster analysis is to separate data sets into ... similarities and dissimilarities. In this paper, the fuzzy cmeans algorithm was adapted for directional ... consistency, accuracy and computational time. Fuzzy clustering algorithms for directional data (FCM4DD and FCD) were...

FINDCLUS
 Referenced in 3 articles
[sw20020]
 FINDCLUS: fuzzy individual differences clustering. ADditive CLUStering (ADCLUS) is a tool for overlapping clustering ... matrices (objects objects). In Simple Additive Fuzzy Clustering (SAFC), a variant of ADCLUS is introduced ... fuzzy partition of the objects, that is the objects belong to the clusters with ... This new model is called Fuzzy INdividual Differences CLUStering (FINDCLUS). An algorithm is provided...

SparseFIS
 Referenced in 11 articles
[sw13736]
 systems (SparseFIS)] for TakagiSugeno (TS) fuzzy systems, extended by including rule weights ... three phases: The first phase conducts a clustering process in the input/output feature space with ... projects the obtained clusters onto 1D axes to form the fuzzy sets (centers ... rules. Hereby, the number of clusters = rules is predefined and denotes a kind of upper...

RFCM
 Referenced in 8 articles
[sw02668]
 RFCM: a hybrid clustering algorithm using rough and fuzzy sets. A hybrid unsupervised learning algorithm ... introduced in roughfuzzy cmeans, enables efficient selection of cluster prototypes. Several quantitative indices...

MSAFC
 Referenced in 1 article
[sw13647]
 MSAFC: matrix subspace analysis with fuzzy clustering ability. In this paper, based on the maximum ... margin criterion (MMC) together with the fuzzy clustering and the tensor theory, a novel matrix ... matrix subspace analysis method with fuzzy clustering ability (MSAFC) is derived. Besides, according ... simultaneously realize unsupervised feature extraction and fuzzy clustering for matrix data (e.g. image data...

SAINTETIQ
 Referenced in 17 articles
[sw02290]
 SAINTETIQ: A fuzzy setbased approach to database summarization. A new approach to database summarization ... clustering algorithm, SAINTETIQ incrementally builds a summary hierarchy from database records. Furthermore, the fuzzy...

FCLUSTER
 Referenced in 1 article
[sw22646]
 FCLUSTER  A tool for fuzzy cluster analysis. FCLUSTER is a tool for fuzzy cluster analysis ... Besides for fuzzy clustering it can be used to obtain a set of fuzzy rules...

JMT
 Referenced in 2 articles
[sw19186]
 multiclass environments, and workload characterization with fuzzy clustering. The discreteevent simulator supports several advanced...

advclust
 Referenced in 1 article
[sw16675]
 advclust. S4 Object Oriented for Advanced Fuzzy Clustering and Fuzzy COnsensus Clustering. Techniques that provided...

vegclust
 Referenced in 1 article
[sw26017]
 package vegclust: Fuzzy Clustering of Vegetation Data. A set of functions to perform fuzzy clustering...

Mercury
 Referenced in 1 article
[sw30528]
 Mercury®: A Software Based on Fuzzy Clustering for ComputerAssisted Composition. We present Mercury ... computerassisted composition based on fuzzy clustering algorithms. This software is able to generate...