A Direct Data Cluster Analysis Method Based on Neutrosophic Set Implication is popular PDF and ePub book, written by Sudan Jha in 2020-10-01, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, A Direct Data Cluster Analysis Method Based on Neutrosophic Set Implication can be Read Online from any device for your convenience.
A Direct Data Cluster Analysis Method Based on Neutrosophic Set Implication Book PDF Summary
Raw data are classified using clustering techniques in a reasonable manner to create disjoint clusters. A lot of clustering algorithms based on specific parameters have been proposed to access a high volume of datasets. This paper focuses on cluster analysis based on neutrosophic set implication, i.e., a k-means algorithm with a threshold-based clustering technique. This algorithm addresses the shortcomings of the k-means clustering algorithm by overcoming the limitations of the threshold-based clustering algorithm. To evaluate the validity of the proposed method, several validity measures and validity indices are applied to the Iris dataset (from the University of California, Irvine, Machine Learning Repository) along with k-means and threshold-based clustering algorithms. The proposed method results in more segregated datasets with compacted clusters, thus achieving higher validity indices. The method also eliminates the limitations of threshold-based clustering algorithm and validates measures and respective indices along with k-means and threshold-based clustering algorithms.
Detail Book of A Direct Data Cluster Analysis Method Based on Neutrosophic Set Implication PDF
- Author : Sudan Jha
- Release : 01 October 2020
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Computers
- Total Page : 18 pages
- Language : English
- PDF File Size : 8,6 Mb
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