The fuzzy k-modes (FKM) is a popular method for clustering categorical data. However, the main problem of this algorithm is that it is very sensitive to the initialization of primary clusters, so inappropriate initial cluster centers lead to poor local optima. Another problem with the FKM is ...
K-Modes聚类算法 1. In framework of K-Modes and Fuzzy K-Modes clustering algorithms, this paper deeply researches on clustering algorithm for categorical data. 本文在K-Modes和模糊K-Modes聚类算法框架下,对符号属性数据聚类算法进行了深入地研究,论文的主要研究成果如下。 更多例句>> 4...
In the fuzzy k-modes clustering, there is just one membership degree of interest by class for each individual which cannot be sufficient to model ambiguity of data precisely. It is known that the essence of a multivariate thinking allows to expose the inherent structure and meaning revealed ...
A fuzzy k-modes algorithm is presented and the effectiveness of the algorithm is demonstrated with experimental results.关键词: Theoretical or Mathematical/ data mining fuzzy set theory pattern clustering/ fuzzy k-modes algorithm categorical data clustering matching dissimilarity measure/ C1250 Pattern ...
Some comparisons between FkP and two popular algorithms, fuzzy k-modes and fuzzy centroids, are made. These results show that the FkP clustering algorithm can be another useful tool in analyzing categorical data. 展开 关键词: Categorical data Grade of membership (GoM) model Fuzzy k-partitions (...
Although fuzzy k-modes algorithm has removed the numeric-only limitation of the k-means algorithm, that each attribute of the centroid with a single catego... J Wang,R Gu - International Conference on Artificial Intelligence & Computational Intelligence 被引量: 4发表: 2010年 基于模糊质心的混合...
In order to search for appropriate fuzzy membership matrices which can minimize the fuzzy objective function, we present a hybrid genetic fuzzy k k mathContainer Loading Mathjax -Modes algorithm in this paper. To circumvent the expensive crossover operator in genetic algorithms (GAs), we hybridize...
uFuzzy (try) ★ 2.3k 7.6KB 0.5ms 434ms 28.4MB 7.4MB 18ms uFuzzy (try) (external prefix caching) 210ms 27.8MB 7.4MB 18ms uFuzzy (try) (outOfOrder, fuzzier) 545ms 29.5MB 7.4MB 18ms uFuzzy (try) (outOfOrder, fuzzier, SingleError) 508ms 30.0MB 7.4MB 18ms --- Fuse.js (try...
Arabian Hoseynabadia, H., Oraeea, H., Tavnerb, P.J.: Failure Modes and Effects Analysis (FMEA) for Wind Turbines. Elsevier, Durham University (2010) Google Scholar İrfan, E.: Akademik Performans Değerlendirmede Bulanık Mantık Yaklaşımı, İktisadi ve İdari Bilimler...
In some embodiments, an adaptive filter employs two adaptation modes, where during one adaptation mode the adaptive filter is updated only when the received training sample is a first binary value and during the other adaptation mode the... James E. Jaussi,Bryan K. Casper - US 被引量: 3发...