[PDF][PDF] Analysis and study of K-means clustering algorithm
S Singh, NS Gill - Int. J. Eng. Res. Technol, 2013 - academia.edu
Study of this paper describes the behavior of K-means algorithm. Through this paper we
have try to overcome the limitations of K-means algorithm by proposed algorithm. Basically …
have try to overcome the limitations of K-means algorithm by proposed algorithm. Basically …
[PDF][PDF] A comparative study of k-means and weighted k-means for clustering
AM Baswade, KD Joshi, PS Nalwade - International Journal of …, 2012 - academia.edu
Abstract k-mean [1] is one of the most important algorithm for Clustering. Major problem of
using k-mean type algorithms in Data mining is selection of variables (attributes). k …
using k-mean type algorithms in Data mining is selection of variables (attributes). k …
K-means algorithm with a novel distance measure
S Abudalfa, M Mikki - Turkish Journal of Electrical …, 2013 - journals.tubitak.gov.tr
In this paper, we describe an essential problem in data clustering and present some
solutions for it. We investigated using distance measures other than Euclidean type for …
solutions for it. We investigated using distance measures other than Euclidean type for …
[引用][C] Selection of initial centroids for k-means algorithm
AM Baswade, PS Nalwade - IJCSMC, 2013
Data clustering: Integrating different distance measures with modified k-means algorithm
Unsupervised learning is the process to partition the given data set into number of clusters
where similar data objects belongs same cluster and dissimilar data objects belongs to …
where similar data objects belongs same cluster and dissimilar data objects belongs to …
Unique distance measure approach for K-means (UDMA-Km) clustering algorithm
WKD Pun, ABMS Ali - Tencon 2007-2007 IEEE Region 10 …, 2007 - ieeexplore.ieee.org
Clustering technique in data mining has received a significant amount of attention from
machine learning community in the last few years and become one of the fundamental …
machine learning community in the last few years and become one of the fundamental …
[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 …