1 citations · 1 across the 4 of their papers we have counts for
4 papers
A New Similarity Function for Spectral Clustering with Application to Plant Phenotypic Data
Kapil Ahuja, Mithun Singh, Kuldeep Pathak +1
Clustering species of the same plant into different groups is an important step in developing new species of the concerned plant. Phenotypic (or physical) characteristics of plant…
A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis
Preeti Jha, Aruna Tiwari, Neha Bharill +5
Genome sequencing projects are rapidly increasing the number of high-dimensional protein sequence datasets. Clustering a high-dimensional protein sequence dataset using traditional…
Probabilistically Sampled and Spectrally Clustered Plant Genotypes using Phenotypic Characteristics
Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe +1
Clustering genotypes based upon their phenotypic characteristics is used to obtain diverse sets of parents that are useful in their breeding programs. The Hierarchical Clustering (…
Vector Quantized Spectral Clustering applied to Soybean Whole Genome Sequences
Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe +3
We develop a Vector Quantized Spectral Clustering (VQSC) algorithm that is a combination of Spectral Clustering (SC) and Vector Quantization (VQ) sampling for grouping Soybean geno…