Conceptual Overlapping Clustering for Effective Selection of Parental Rice Varieties

Madhavi Dabbiru; Shashi Mogalla; PRM Rao

doi:10.24297/ijct.v4i2a2.3178

Authors

Madhavi Dabbiru GMRIT, Rajam, Srikakulam Dt, A.P
Shashi Mogalla Department of CSSE, COE, Andhra University, Visakhapatnam A.P, India.
PRM Rao ARS Ragolu, Srikakulam, A.P, India.

DOI:

https://doi.org/10.24297/ijct.v4i2a2.3178

Keywords:

Associative clustering, Conceptual clustering, Overlapping clustering, Rice breeding methods, Colossal pattern mining.

Abstract

The process of rice breeding involves producing new rice varieties as a cross of parental rice varieties followed by rigorous testing and examination phase for purity, productivity and resistivity to regional climatic conditions. The selection of appropriate parental seeds to produce new rice variety with more or less predictable characteristics is highly desirable as it reduces expensive experimental evaluation efforts. Authors suggest the applicability of Conceptual Overlapping Clustering Algorithm [7] developed by them for conceptual overlapping clustering to aid proper selection of rice varieties and demonstrated the performance of this algorithm on a real world dataset.