Performance evaluation of distance metrics in the clustering algorithms
Distance measures play an important role in cluster analysis. There is no single distance
measure that best fits for all types of the clustering problems. So, it is important to find set of …
measure that best fits for all types of the clustering problems. So, it is important to find set of …
[PDF][PDF] A comparative study on distance measuring approaches for clustering
S Pandit, S Gupta - International journal of research in computer science, 2011 - Citeseer
Clustering plays a vital role in the various areas of research like Data Mining, Image
Retrieval, Bio-computing and many a lot. Distance measure plays an important role in …
Retrieval, Bio-computing and many a lot. Distance measure plays an important role in …
Performances of k-means clustering algorithm with different distance metrics
TM Ghazal - Intelligent Automation & Soft …, 2021 - research.skylineuniversity.ac.ae
Clustering is the process of grouping the data based on their similar properties. Meanwhile,
it is the categorization of a set of data into similar groups (clusters), and the elements in each …
it is the categorization of a set of data into similar groups (clusters), and the elements in each …
Clustering analysis using an adaptive fused distance
The selection of a proper distance function is crucial for analyzing the data efficiently. To find
an appropriate distance for clustering algorithm is an unsolved problem as of now. The …
an appropriate distance for clustering algorithm is an unsolved problem as of now. The …
[PDF][PDF] Clustering techniques and the similarity measures used in clustering: A survey
Clustering is an unsupervised learning technique which aims at grouping a set of objects
into clusters so that objects in the same clusters should be similar as possible, whereas …
into clusters so that objects in the same clusters should be similar as possible, whereas …
An index structure for data mining and clustering
In this paper we present an index structure, called MetricMap, that takes a set of objects and
a distance metric and then maps those objects to ak-dimensional space in such a way that …
a distance metric and then maps those objects to ak-dimensional space in such a way that …
A comprehensive survey of clustering algorithms
Data analysis is used as a common method in modern science research, which is across
communication science, computer science and biology science. Clustering, as the basic …
communication science, computer science and biology science. Clustering, as the basic …
An overview of clustering methods
MGH Omran, AP Engelbrecht… - Intelligent Data …, 2007 - content.iospress.com
Data clustering is the process of identifying natural groupings or clusters within
multidimensional data based on some similarity measure. Clustering is a fundamental …
multidimensional data based on some similarity measure. Clustering is a fundamental …
[PDF][PDF] An Experiment with Distance Measures for Clustering.
A Vimal, SR Valluri, K Karlapalem - COMAD, 2008 - Citeseer
Distance measure plays an important role in clustering data points. Choosing the right
distance measure for a given dataset is a non-trivial problem. In this paper, we study various …
distance measure for a given dataset is a non-trivial problem. In this paper, we study various …
Distance and density based clustering algorithm using Gaussian kernel
Clustering is an important field for making data meaningful at various applications such as
processing satellite images, extracting information from financial data or even processing …
processing satellite images, extracting information from financial data or even processing …