[PDF] Top 20 Una prueba de la eficiencia débil en el mercado accionario Colombiano

... fuzzy clustering methods have been developed following the general fuzzy set theory strategies outlined by Zadeh in his fundamental paper ...crisp clustering and fuzzy clustering can be stated as ... See full document

... between intuitionistic fuzzy sets for clustering the intuitionistic fuzzy data by using heuristic algorithms of possibilistic ...the intuitionistic fuzzy set theory are ... See full document

... A heuristic approach to possibilistic clustering is proposed in ...the heuristic approach to possibilistic clustering is that the sought clustering structure of the set of ... See full document

... In conclusion, it should be said that fuzzy cluster and allotment concepts have an epistemological motivation. That is why the results of application of the heuristic possibilistic clustering method ... See full document

... k-means clustering algorithm based on the message passing ...fuzzy clustering-text clustering method based on the fuzzy C-Means clustering algorithm and the edit ... See full document

... the union of the Family 1 and Family 3 and the third object is a unique element of the third class. So, the results obtained by the proposed FG-AFC-algorithm seem to be appropriate. It should be noted, that the ... See full document

... In the feasible solutions, there exists a possibility that some base stations have not fully utilized the UAVs. Therefore, it might useful to reduce the establishing cost through shutting down some stations. As Figure 2 ... See full document

... COCOMO81 dataset is used for evaluation and the respective results are tabulated below. On this dataset, GRA method and BAT algorithms are applied to estimate the effort. The step by step implementation of the proposed ... See full document

... strategy based on acknowledgments between communities ...for Clustering Hierarchy (HACH), which usually sequentially carries out collection of non-active nodes as well as cluster head nodes at each ...a ... See full document

... unknown based on his academic records or extra and co-curricular ...K-means clustering algorithm in order to group the students into various categories based on their current academic trends ... See full document

... proposed algorithm uses two revealing operators on impulse to define when to variant the low- level heuristic ...other heuristic scheduling algorithms, in resolving the workflow scheduling and ... See full document

... All datasets used for evaluation in this thesis work are real life document data sets which have been widely used in document clustering research. They are heterogeneous in terms of document size, cluster size, ... See full document

... in clustering objects in an image. Fuzzy c- means (FCM) clustering is an unsupervised method derived from fuzzy logic that is suitable for solving multiclass and ambiguous clustering ...FCM ... See full document

... Spectral Clustering (Ng et al., 2001) or Prototype Based model (Hinneburg and Keim, ...2003). Clustering has application in various areas of computer science such as machine learning, data ... See full document

... using Intuitionistic Fuzzy clustering algorithm followed by some of the morphological operations which are executed for extracting the vertebral bodies (VB) from the clustered ... See full document

... This paper concluded a survey of the most important application of neural network. The main purpose of the study is to select the cluster head which aggregates the data and send it to the sink by the use of neural ... See full document

... The algorithm is programmed in Turbo C++ and runs on a PC with Intel Pentium ...developed algorithm gives accurate result and outperforms genetic algorithm in some cases An example for such an ... See full document

... meta-heuristic based clustering algorithms in the search for solutions within the solution ...meta- heuristic based clustering algorithms outperform traditional clustering ... See full document

... before clustering phenomenon occurs for the selection of ...starting clustering phenomenon for the selection of clusterhead, the selection of weights for all the nodes participating in a network is done by ... See full document

... interval-based possibilistic dl-program. Then a possibilistic description logic program KB is compatible with ∑ if and only if there exists a bijection function f IKB :  KB , such that for any   , ... See full document