A Novel Sampled Clustering Algorithm for Rice Phenotypic Data

arXiv:2312.14920v2 Announce Type: replace
Abstract: Phenotypic (or Physical) characteristics of plant species are commonly used to perform clustering. In one of our recent works (Shastri et al. (2021)), we used a probabilistically sampled (using pivotal sampling) and spectrally clustered algorithm to group soybean species. These techniques were used to obtain highly accurate clusterings at a reduced cost. In this work, we extend the earlier algorithm to cluster rice species. We improve the base algorithm in three ways.
First, we propose …

abstract algorithm arxiv clustering clustering algorithm cs.ai cs.lg data novel pivotal replace sampling species type