• clusfind

  • Referenced in 407 articles [sw27805]
  • FANNY.FOR (a new method for fuzzy clustering); Chapter 5+6 : TWINS.FOR (hierarchical clustering...
  • e1071

  • Referenced in 90 articles [sw07985]
  • class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged...
  • Fuzzy Logic Toolbox

  • Referenced in 56 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...
  • P-FCM

  • Referenced in 17 articles [sw02421]
  • proximity-based fuzzy clustering for user-centered web applications. In last years, the Internet ... navigation. We define an extension of fuzzy C-means algorithm, namely proximity fuzzy C-means ... dissimilarity as user’s feedback on the clusters. We present the theoretical framework of this...
  • 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...
  • DENFIS

  • Referenced in 56 articles [sw24183]
  • Fuzzy rules can also be extracted during or after the learning process. An evolving clustering...
  • CECM

  • Referenced in 6 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...
  • fclust

  • Referenced in 2 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...
  • fc

  • Referenced in 3 articles [sw22645]
  • fuzzy clustering (fc) package contains well-known algorithms like the fuzzy c-means algorithm ... algorithms I recommend to read our fuzzy clustering book. The package consists of a number...
  • 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 10 articles [sw13736]
  • systems (SparseFIS)] for Takagi-Sugeno (T-S) 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 1-D axes to form the fuzzy sets (centers ... rules. Hereby, the number of clusters = rules is predefined and denotes a kind of upper...
  • 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...
  • 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...
  • RFCM

  • Referenced in 6 articles [sw02668]
  • RFCM: a hybrid clustering algorithm using rough and fuzzy sets. A hybrid unsupervised learning algorithm ... introduced in rough-fuzzy c-means, enables efficient selection of cluster prototypes. Several quantitative indices...
  • SAINTETIQ

  • Referenced in 15 articles [sw02290]
  • SAINTETIQ: A fuzzy set-based approach to database summarization. A new approach to database summarization ... clustering algorithm, SAINTETIQ incrementally builds a summary hierarchy from database records. Furthermore, the fuzzy...
  • JMT

  • Referenced in 2 articles [sw19186]
  • multiclass environments, and workload characterization with fuzzy clustering. The discrete-event simulator supports several advanced...
  • 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 Computer-Assisted Composition. We present Mercury ... computer-assisted composition based on fuzzy clustering algorithms. This software is able to generate...
  • hopach

  • Referenced in 1 article [sw10465]
  • that each element belongs to each cluster (fuzzy clustering...
  • SAADI

  • Referenced in 1 article [sw02602]
  • SAADI: software for fuzzy clustering and related fields. The article describes a software product whose...