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31. Through the adjacency matrix, computing networks, clustering coefficient.

32. So the bad news is clustering thick and fast.

33. A new efficient index structure is presented for high - dimensional data space - Clustering Pyramid - tree.

34. Effective data discretization can obviously improve system ability on clustering instances, and can also make systems more robust to data noise.

35. The improved fuzzy C-means clustering algorithm has better robustness and makes the cluster results insensitive to the predefined cluster number.

36. A fuzzy classification system was presented by combining the multidimensional time series fuzzy clustering with rule extraction to evaluate the credit.

37. In practice, we can dispart hereinafter class : classification, clustering, regression, sequence, etc.

38. Here we use a method of clustering analysis based on the fuzzy equivalent relation.

39. This paper proposed a genetic clustering segmentation algorithm on entropy.

40. The visualization based on new measurements dynamically adjusts the data distribution on coordinate axis and quantificationally assesses the clustering assessment.

41. In addition, comparison with fuzzy Kohonen clustering networks ( FKCN ) also been made, based on IRIS data.

41. Wish you can benefit from our online sentence dictionary and make progress every day!

42. The premise structure of fuzzy model is confirmed by the improved fuzzy clustering, and fuzzy relation matrix of fuzzy model is confirmed by orthogonal least square.

43. The fact of identifying 114 typical oil-gas reservoirs shows that the grey clustering procedure needs less original data.

44. A multi-level document clustering algorithm was proposed based on association rules, It constructed document feature vector of topic and keyword by using a new method of document feature extraction.

45. Fuzzy c - Mean ( FCM ) clustering algorithm is one of the widely appliedalgorithms in unsupervised model recognition fields.

46. The purpose of this paper is to give a topological view to the spatial clustering focusing on density based clustering with its variations.

47. Unfortunately for Java programmers, most clustering systems are built around C-based software messaging APIs such as Message Passing Interface (MPI) or Parallel Virtual Machine (PVM).

48. A zero - skew clock routing algorithm with fast clustering and performance improvement is proposed.

49. A prominent and useful class of algorithm is hierarchical agglomerative clustering(HAC)which iteratively agglomerates the closest pare until all data points belong to one cluster.

50. Results:After variate transformation by clustering, the data was more similar to normal distribution.

51. Mahout provides driver programs for all of the clustering algorithms, including the k-Means algorithm, aptly named the KMeansDriver.

52. First fuzzy clustering is applied compact initial TSK fuzzy model from the data for training.

53. By direction difference analysis and clustering analysis, the accumulating ability of citrus pulp, wild cabbage, hot pepper, French bean is very small in the 8 kinds of agricultural products.

54. Cosmic string formed due to phase transition in the early universe may be the cause of galaxy formation and clustering.

55. Emphasis is placed on a new model - Ionization Ionization Clustering Cluster model.

56. A Shannon s mutual information and fuzzy entropy clustering based oil analysis method was presented.

57. Experiments show that the automatic parameter setting in document clustering generates more satisfied clustering result and improves the clustering efficiency.

58. The selection of starting center points of clustering has great effects on the constringency speed of this clustering algorithms and the performance of clustering.

59. A concept of clustering coefficient of correlation factor and its meaning are put forward.

60. The running of dynamic clustering Wireless Sensor Network includes three phase, start-up, steady-going and dynamic reset.