Clustering Analysis for Appropriate Crop Prediction using Hierarchical, Fuzzy C-Means, K-Means and Model based Techniques
| Author(s) | : | Dr Madhavi Gudavalli, Vidyasree P, S Viswanadha Raju |
| Institution | : | Assistant Professor, Department of CSE, UCEN JNTUK, Narasaropet, Andhra Pradesh, India |
| Published In | : | Vol. 4, Issue 11 — November 2017 |
| Page No. | : | 1233-1242 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Data mining is a specific field of computer and information science with substantial point of view ofknowledge discovery from expansive database or dataset. Different types of techniques are accessible under data miningand clustering or the unsupervised learning specifically. Clustering is a division of information into identical groupseach comparative gathering is known as a cluster. Object in a group are comparative or near each other. Variousmethodologies are designed to implement the clustering technique very effectively. This paper represents a study ondifferent clustering techniques that are incorporated on the seed data sets to enhance the clustering approach based onthe various parameters like area, perimeter, compactness, length and width of the kernel, asymmetric coefficient andlength of the kernel groove.
Dr Madhavi Gudavalli, Vidyasree P, S Viswanadha Raju, “Clustering Analysis for Appropriate Crop Prediction using Hierarchical, Fuzzy C-Means, K-Means and Model based Techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 1233-1242, November 2017.
