Milind B. Ratnaparkhe

According to our database, Milind B. Ratnaparkhe authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Alok Kumar Tiwari

J. Supercomput., November, 2024

An incremental clustering method based on multiple objectives for dynamic data analysis.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Rishabh Soni, Rahul Mahbubani, Saket Kumar

Multim. Tools Appl., April, 2024

A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Parul Mogre, Pranjal Gadge, Kethavath Jagadeesh

J. Supercomput., February, 2024

2023

Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra

Int. J. Data Sci. Anal., May, 2023

A Novel Sampled Clustering Algorithm for Rice Phenotypic Data.

Mithun Singh, Kapil Ahuja, Milind B. Ratnaparkhe

CoRR, 2023

Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Anjali Gupta, Deepali Sukhija, Deepika Sukhija, Rajesh Dwivedi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Abhishek Tripathi, Preeti Jha

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra

CoRR, 2022

High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Rapolu Pulakitha, Aditi Chauhan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Sawarkar Saloni, Namani Sreeharsh

Proceedings of the Neural Information Processing - 29th International Conference, 2022

A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe

Proceedings of the Neural Information Processing - 29th International Conference, 2022

HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Vaibhav Anand, Sudhanshu Arya, Tanmay Singh

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Soundarya Lahari Solasa

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

2021

A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Scalable incremental fuzzy consensus clustering algorithm for handling big data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Neha Nagendra, Mukkamalla Mounika

Soft Comput., 2021

Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra

Comput. Biol. Chem., 2021

Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark.

Ajay Choudhary, Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

Probabilistically Sampled and Spectrally Clustered Plant Genotypes using Phenotypic Characteristics.

Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Yann Busnel

CoRR, 2020

2018

Vector Quantized Spectral Clustering applied to Soybean Whole Genome Sequences.

Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Aditya Shah, Aishwary Gagrani, Anant Lal

CoRR, 2018

A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction.

Neha Mehra, Aruna Tiwari, Milind B. Ratnaparkhe, Neha Bharill

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018