Study of K-Means and Enhanced K-Means Clustering Algorithm.
Data clustering is a process of arranging data into groups or a technique for classifying a
mountain of information into some manageable meaningful piles. The goal of clustering is to …
mountain of information into some manageable meaningful piles. The goal of clustering is to …
[PDF][PDF] An optimized approach for k-means clustering
Cluster analysis method is one of the most analytical methods of data mining. The method
will directly influence the result of clustering. This paper discusses the standard of k-mean …
will directly influence the result of clustering. This paper discusses the standard of k-mean …
[PDF][PDF] A novel approach for data clustering using improved Kmeans algorithm
R Suryawanshi, S Puthran - International Journal of Computer …, 2016 - academia.edu
In statistic and data mining, k-means is well known for its efficiency in clustering large data
sets. The aim is to group data points into clusters such that similar items are lumped together …
sets. The aim is to group data points into clusters such that similar items are lumped together …
[PDF][PDF] Comparison of k-means and modified k-mean algorithms for large data-set
SS Raghuwanshi, PN Arya - International Journal of Computing …, 2012 - Citeseer
Clustering Performance is based iterative and analysis is a descriptive task that seeks to
identify homogeneous groups of objects based on the values of the methodology is search …
identify homogeneous groups of objects based on the values of the methodology is search …
[PDF][PDF] An Efficient k-Means Clustering Algorithm Using Simple Partitioning.
MC Hung, J Wu, JH Chang… - Journal of information …, 2005 - researchgate.net
The k-means algorithm is one of the most widely used methods to partition a dataset into
groups of patterns. However, most k-means methods require expensive distance …
groups of patterns. However, most k-means methods require expensive distance …
An efficient clustering algorithm
YF Zhang, JL Mao, ZY Xiong - Proceedings of the 2003 …, 2003 - ieeexplore.ieee.org
Clustering analysis plays an important role in scientific research and commercial
application. K-means algorithm is a widely used partition method in clustering. As the …
application. K-means algorithm is a widely used partition method in clustering. As the …
[PDF][PDF] A novel benchmark K-means clustering on continuous data
K Prasanna, MSP Kumar, GS Narayana - International Journal on …, 2011 - Citeseer
Cluster analysis is one of the prominent techniques in the field of data mining and k-means
is one of the most well known popular and partitioned based clustering algorithms. K-means …
is one of the most well known popular and partitioned based clustering algorithms. K-means …
[引用][C] A modified version of the K-means clustering algorithm
J Katara, N Choudhary - Global Journal of Computer Science and Technology, 2015