Efficient Implementation of the Fuzzy c-Means Clustering Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Convergence theory for fuzzy c-means: counterexamples and repairs
IEEE Transactions on Systems, Man and Cybernetics
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A thresholded fuzzy c-means algorithm for semi-fuzzy clustering
Pattern Recognition
A new cluster validity index for the fuzzy c-mean
Pattern Recognition Letters
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
A theoretical framework for data mining: the "informational paradigm"
Computational Statistics & Data Analysis - Nonlinear methods and data mining
When Is ''Nearest Neighbor'' Meaningful?
ICDT '99 Proceedings of the 7th International Conference on Database Theory
Distance Measures for Effective Clustering of ARIMA Time-Series
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Cluster center initialization algorithm for K-means clustering
Pattern Recognition Letters
Robust centroids using fuzzy clustering with feature partitions
Pattern Recognition Letters
Initializing K-means Batch Clustering: A Critical Evaluation of Several Techniques
Journal of Classification
Adaptive zero-padding OFDM over frequency-selective multipath channels
EURASIP Journal on Applied Signal Processing
Upper and lower values for the level of fuzziness in FCM
Information Sciences: an International Journal
Discrimination of locally stationary time series using wavelets
Computational Statistics & Data Analysis
Optimizing Parameters of Fuzzy c-Means Clustering Algorithm
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01
A cluster validity index for fuzzy clustering
Information Sciences: an International Journal
Management of uncertainty in Statistical Reasoning: The case of Regression Analysis
International Journal of Approximate Reasoning
Clustering of biological time series by cepstral coefficients based distances
Pattern Recognition
Supervised classification of share price trends
Information Sciences: an International Journal
An new initialization method for fuzzy c-means algorithm
Fuzzy Optimization and Decision Making
On comparing two sequences of numbers and its applications to clustering analysis
Information Sciences: an International Journal
Information Sciences: an International Journal
Cluster Analysis
Information Sciences: an International Journal
Entropies for detection of epilepsy in EEG
Computer Methods and Programs in Biomedicine
Computational Statistics & Data Analysis
A weighted fuzzy c-means clustering model for fuzzy data
Computational Statistics & Data Analysis
A periodogram-based metric for time series classification
Computational Statistics & Data Analysis
Autocorrelation-based fuzzy clustering of time series
Fuzzy Sets and Systems
Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study
Fuzzy Sets and Systems
Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm
Information Sciences: an International Journal
Clustering of time series data-a survey
Pattern Recognition
Information Sciences: an International Journal
A Fuzzy Clustering Model for Multivariate Spatial Time Series
Journal of Classification
Wavelet-based Fuzzy Clustering of Time Series
Journal of Classification
Analysis of the weighting exponent in the FCM
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Alpha-Cut Implemented Fuzzy Clustering Algorithms and Switching Regressions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy Clustering for Data Time Arrays With Inlier and Outlier Time Trajectories
IEEE Transactions on Fuzzy Systems
On cluster validity for the fuzzy c-means model
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
Wavelets-based clustering of multivariate time series
Fuzzy Sets and Systems
Information Sciences: an International Journal
Functional fuzzy clusterwise regression analysis
Advances in Data Analysis and Classification
Fuzzy partition based soft subspace clustering and its applications in high dimensional data
Information Sciences: an International Journal
Ant intelligence inspired blind data detection for ultra-wideband radar sensors
Information Sciences: an International Journal
Asynchronism-based principal component analysis for time series data mining
Expert Systems with Applications: An International Journal
Relative entropy fuzzy c-means clustering
Information Sciences: an International Journal
HMM-based hybrid meta-clustering ensemble for temporal data
Knowledge-Based Systems
Hi-index | 0.07 |
Traditional and fuzzy cluster analyses are applicable to variables whose values are uncorrelated. Hence, in order to cluster time series data which are usually serially correlated, one needs to extract features from the time series, the values of which are uncorrelated. The periodogram which is an estimator of the spectral density function of a time series is a feature that can be used in the cluster analysis of time series because its ordinates are uncorrelated. Additionally, the normalized periodogram and the logarithm of the normalized periodogram are also features that can be used. In this paper, we consider a fuzzy clustering approach for time series based on the estimated cepstrum. The cepstrum is the spectrum of the logarithm of the spectral density function. We show in our simulation studies for the typical generating processes that have been considered, fuzzy clustering based on the cepstral coefficients performs very well compared to when it is based on other features.