Milind B. Ratnaparkhe

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Protein Sequences

Fuzzy Clustering Algorithms

Consensus Clustering

Top Venues

J. Supercomput.

Publications

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Parul Mogre, Pranjal Gadge, Kethavath Jagadeesh
A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data. J. Supercomput. 80 (3) (2024)
Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Rishabh Soni, Rahul Mahbubani, Saket Kumar
An incremental clustering method based on multiple objectives for dynamic data analysis. Multim. Tools Appl. 83 (13) (2024)
Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Alok Kumar Tiwari
A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges. J. Supercomput. 80 (16) (2024)
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Anjali Gupta, Deepali Sukhija, Deepika Sukhija, Rajesh Dwivedi
Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data. SSCI (2023)
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra
Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis. Int. J. Data Sci. Anal. 15 (4) (2023)
Mithun Singh, Kapil Ahuja, Milind B. Ratnaparkhe
A Novel Sampled Clustering Algorithm for Rice Phenotypic Data. CoRR (2023)
Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Abhishek Tripathi, Preeti Jha
A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences. SSCI (2023)
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Vaibhav Anand, Sudhanshu Arya, Tanmay Singh
HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data. CIBCB (2022)
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra
A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis. CoRR (2022)
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Sawarkar Saloni, Namani Sreeharsh
HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data. ICONIP (5) (2022)
Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe
A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization. ICONIP (3) (2022)
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Rapolu Pulakitha, Aditi Chauhan
High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data. SSCI (2022)
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Soundarya Lahari Solasa
A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm. BigComp (2022)
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data. IEEE Trans. Emerg. Top. Comput. Intell. 5 (6) (2021)
Ajay Choudhary, Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe
Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark. FUZZ-IEEE (2021)
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Neha Nagendra, Mukkamalla Mounika
Scalable incremental fuzzy consensus clustering algorithm for handling big data. Soft Comput. 25 (13) (2021)
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra
Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis. Comput. Biol. Chem. 92 (2021)
Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Yann Busnel
Probabilistically Sampled and Spectrally Clustered Plant Genotypes using Phenotypic Characteristics. CoRR (2020)
Neha Mehra, Aruna Tiwari, Milind B. Ratnaparkhe, Neha Bharill
A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction. SSCI (2018)
Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Aditya Shah, Aishwary Gagrani, Anant Lal
Vector Quantized Spectral Clustering applied to Soybean Whole Genome Sequences. CoRR (2018)