5 papers
Cube Sampled K-Prototype Clustering for Featured Data
Seemandhar Jain, Aditya A. Shastri, Kapil Ahuja +2
Clustering large amount of data is becoming increasingly important in the current times. Due to the large sizes of data, clustering algorithm often take too much time. Sampling thi…
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…
Density-Wise Two Stage Mammogram Classification using Texture Exploiting Descriptors
Aditya A. Shastri, Deepti Tamrakar, Kapil Ahuja
Breast cancer is becoming pervasive with each passing day. Hence, its early detection is a big step in saving the life of any patient. Mammography is a common tool in breast cancer…
Edge-bandwidth of graphs
Tao Jiang, Dhruv Mubayi, Aditya Shastri +1
The edge-bandwidth of a graph is the minimum, over all labelings of the edges with distinct integers, of the maximum difference between labels of two incident edges. We prove that…