Optimization of K-means Algorithm Base on MapReduce
نویسندگان
چکیده
منابع مشابه
An Improved K-means Algorithm based on Mapreduce and Grid
The traditional K-means clustering algorithm is difficult to initialize the number of clusters K, and the initial cluster centers are selected randomly, this makes the clustering results very unstable. Meanwhile, algorithms are susceptible to noise points. To solve the problems, the traditional K-means algorithm is improved. The improved method is divided into the same grid in space, according ...
متن کاملPersistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm
Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K...
متن کاملParallel K-Means Clustering Based on MapReduce
Data clustering has been received considerable attention in many applications, such as data mining, document retrieval, image segmentation and pattern classification. The enlarging volumes of information emerging by the progress of technology, makes clustering of very large scale of data a challenging task. In order to deal with the problem, many researchers try to design efficient parallel clu...
متن کاملpersistent k-means: stable data clustering algorithm based on k-means algorithm
identifying clusters or clustering is an important aspect of data analysis. it is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. it is a main task of exploratory data mining, and a common technique for statistical data analysis this paper proposed an improved version of k-means algorithm, namely persistent k...
متن کاملEcology Parallel implementation of K-Means clustering algorithm based on mapReduce computing model of hadoop
In recent years, data clustering has been studied extensively and a lot of methods and theories have been achieved. However, with the development of the database and the popularity of Internet, a lot of new challenges such as Big Data and Cloud Computing lie in the research on data clustering. The paper presents a parallel k-means clustering algorithm based on MapReduce computing model of Hadoo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1881/3/032069