[PDF] Top 20 Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications For Geographic Data Clustering

... distributed fuzzy clustering algorithm to handle large data sets using picture fuzzy sets called DPFCM has improved overall clustering quality in comparison ... See full document

... in data mining mainly focuses on the discovery algorithm and visualization ...involving fuzzy sets, neural networks, genetic algorithms, rough sets, and their hybridizations, have ... See full document

... similarity algorithms, library enumerations, diversified compound selections, and classification and clustering algorithms have been ...The clustering of chemical data sets forms ... See full document

... Fuzzy clustering is a group of algorithms for clustering analysis, in which the data elements are distributed to the cluster is not “clear” (elements belong to only one cluster) that ... See full document

... the data set (separation between groups, cluster density, cluster size, ...the clustering parameters such as the fuzziness ...a data object is constrained to ...the data is relatively small ... See full document

... In existing system, most popular vector space model is successful. This model is able to capture the semantic content of document level text. In high dimensional vector space, the data points similar to a unique ... See full document

... Image segmentation is the first step in image processing progress. It has an important role and effects to the accuracy of following steps in image processing [8]. Dental image segmentation also is the pivotal part in ... See full document

... cost-sensitive fuzzy rule-based classification ...of fuzzy c-means clustering and particle swarm optimization algorithm is ...calculated using the proposed cost ...(in data base) is ... See full document

... 2-factor data security defense method for cloud data storage organization which comprises of data associated is allowable to encrypt content with knowledge of distinctness of a consumer only, at the ... See full document

... applying clustering methods to analyse regional disparities based on the economic development indicators of the regions of ...considered fuzzy clustering methods, which generalize partition ... See full document

... its applications in physics, chemistry, computer science and other branches of ...has applications in the theory of unsaturated conjugated molecular hydrocarbons called Hückel molecular orbital ...personal ... See full document

... the fuzzy comprehensive evaluation method is applied to the comprehensive evaluation of environmental quality, and the air quality in Chengdu, China is comprehensively evaluated and ...sorted. Improvements ... See full document

... guided clustering method surfaces for both two and three ...the clustering surface estimates (these are shown as error bars in ...the clustering results did not agree to within their error ...guided ... See full document

... ACO algorithms, firstly introduced by Dorigo (1992), are population-based, cooperative search procedures derived from the behavior of real ...Without using visual cues, real ants exploiting pheromones as a ... See full document

... Operating in textual domains, filtering systems or recommender systems evaluate and filter the great amount of information available on the Web, stored in XML documents (or HTML) to assist people in their search ... See full document

... uses Fuzzy Possibilistic algorithm for ...marketing data, forecasting market trends, and enhancing the competitive strength of enterprises ...agglomerative clustering to cluster users’ browsing ... See full document

... the data sample from the initial input space Rp to high-dimensional feature space Rq through the use of nonlinear transformation φ ( ) ⋅ and doing research in the high dimensional feature space ...the data ... See full document

... k-means clustering and fuzzy c-means ...segmentation, clustering techniques are very important as they are intuitive and are also easy to ...K-means clustering and fuzzy c-means ... See full document

... effects using Modified Fuzzy c-means clustering is shown below in Table ...three algorithms on different noisy images with different ...classic Fuzzy C-means ...images using ... See full document

... tackled using the modern instrumentation technology (Hussain et ...monitoring using the ongoing 3G technologies has been implemented by Chinese ...time data and its algorithm makes it intelligent ... See full document