Milan Parmar

REDPC: A residual error-based density peak clustering algorithm

Milan Parmar, Di Wang, Xiaofeng Zhang et al. · Neurocomputing · 2018 · 76 citations · Full text

Document Clustering, Density Estimation, Engineering +4

Stock price forecasting based on LLE-BP neural network model

Zhuoxi Yu, Qin Lu, Yunjing Chen et al. · Physica A Statistical Mechanics and its Applications · 2020 · 68 citations

Asset Pricing, Predictive Analytics, Business +7

GDPC: Gravitation-based Density Peaks Clustering algorithm

Jianhua Jiang, Dehao Hao, Yujun Chen et al. · Physica A Statistical Mechanics and its Applications · 2018 · 41 citations

Document Clustering, Engineering, Data Science +2

FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy

Milan Parmar, Wei Pang, Dehao Hao et al. · IEEE Access · 2019 · 33 citations · Full text

Cluster Computing, Document Clustering, Density Estimation +15

A novel density peak clustering algorithm based on squared residual error

Milan Parmar, Di Wang, Ah‐Hwee Tan et al. · 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC) · 2017 · 15 citations

Cluster Computing, Engineering, Density Peak Clustering +18