Parallel Glowworm Swarm Optimization Clustering Algorithm based on. A parallel K-means algorithm clustering. clustering using the MapReduce-based K-means. In this paper we have proposed a novel parallel k-means PageRank Algorithm based on MapReduce. K-means clustering. Parallel K-Means PageRank Algorithm Based. PARABLE: A PArallel RAndom-partition Based HierarchicaL ClustEring Algorithm for the MapReduce Framework Shen Wang and Haimonti Dutta The Center for Computational. K-Means clustering algorithm has been enhanced based on MapReduce such that it works in distributed. Keywords: Clustering Big Data, Parallel k-Means. IJCAT International Journal of Computing and Technology, Volume 1, Issue 3, April 2014 ISSN: 2348 - 6090 docflow.info 33 Parallel K-Means Clustering Based on. Clustering Very Large Multi-dimensional Datasets with MapReduce. traditional clustering methods and low dimensional data,iftheplug. and k-means-based. Zhao, Ma in “Parallel K-Means Clustering Based on MapReduce”,  demonstrated that the K-Means. explanation of mapreduce and K-means algorithm. Research and implementation of user clustering based. Canopy + K-means clustering. MapReduce is a new kind of parallel computing model which makes use of. Parallel Two Phase K-Means Based On Mapreduce. Data Clustering, K-means, Parallel Distributed. In the existing parallel K-means algorithms data sets are. K Means of Cloud Computing: MapReduce, DVM, and Windows Azure Lin Gu Zhonghua Sheng Zhiqiang Ma Xiang Gao Charles Zhang Department of Computer Science and Engineering. A Parallel Clustering Method Study Based on. parallel clustering method based on MapReduce is. methods based on MapReduce were proposed, suchas k-means. Study and Analysis of Distributed Document Clustering Based on MapReduce in Hadoop. A. Direct K-Means Clustering K-means document clustering comes under partition. Model proposed by Google for efficient parallel data. out in the specific area of k-means clustering and MapReduce. MapReduce framework based on. Heterogeneous Computing Based K-Means Clustering. of k-means along with the MapReduce. A parallel implementation of standard k-means using the non. Parallel Diffrential Evolution Clustering Algorithm based on. the classical K-means and with the recent developed Particle Swarm Optimization based on MapReduce. The researches of K-means clustering algorithm which is based on MapReduce become a focus for scholars. In this paper, an improved parallel K-means . MapReduce is used by Google as a Parallel programming model and a framework for processing big-data. propose parallel k-means clustering algorithm based on. Research of parallel DBSCAN clustering algorithm based on. K-Means algorithm is based on. proposes a parallel DBSCAN clustering algorithm based on …. Also been described in this paper based on a small. Index Terms— K-Means Clustering, MapReduce. Map and Reduce steps are performed in parallel on pairs of. A Clustering with Slope Algorithm based on MapReduce. these algorithms include k-means, k-medoids, and those based on. ing the clustering criterion. Based. The project presented by Makho Ngazimbi entitled Data Clustering Using MapReduce is hereby approved. to customers based on movies. 2.4 K-means Clustering.