… : Spatial clustering is an important tool for spatial data mining … clustering algorithms cannot
obtain satisfied clustering … , a novel data field for spatial clustering, called aggregation field, is …

… algorithm. Compared with the original K-Means algorithm, the hybrid clustering algorithm …
has better stability, fewer iterations, faster convergence speed and better clustering effect. …

… a spatial clustering algorithm based on the nearest distance distribution, the algorithm is …
that in the particular part of data space, points within same cluster are uniformly distributed. …

… Clustering Algorithm Based on NJW Algorithm. The main idea is that each object, making
weighted arithmetic, repeats clustering … from the stability of NJW Algorithm. According to the …

… and Apriori algorithm to analyze the correlation between the characteristics of the pump,
and removes the redundant attributes, and then uses the kmeans algorithm to carry out cluster …

… algorithm model, this project analyzes the take-out data of … clustering algorithm based on
the inability of centralized system frameworks to process and analyze massive amounts of data…