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• Currently working on developing new clustering algorithms for autonomous pattern recognition

• 🏢 Associate Professor atUniversity of Tennessee
• 🔭 Area of interest is in and
• 🎯 Specifically interested in finding hidden patterns, rules and knowledge from a dataset.
• 🌱 Learning all about and
• Looking to collaborate onOpen Source Projects on
• Ping me about and

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☰ Click for List of Publications(click to expand) 🔗

📜Journal Articles

No	Title	DOI	Journal
01	An Improved Integrated Clustering Learning Strategy Based on Three-Stage Affinity Propagation Algorithm with Density Peak Optimization Theory (2021)		Complexity
02	Stock price forecasting based on LLE-BP neural network model (2020)		Physica A: Statistical Mechanics and its Applications
03	REDPC: A residual error-based density peak clustering algorithm (2019)		Neurocomputing
04	A Novel Density Peaks Clustering Halo Node Assignment Method based on K-Nearest Neighbor Theory (2019)		IEEE Access
05	FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy (2019)		IEEE Access
06	Empirical likelihood based inference for generalized additive partial linear models (2018)		Applied Mathematics and Computation
07	GDPC: Gravitation-based Density Peaks Clustering algorithm (2018)		Physica A: Statistical Mechanics and its Applications
08	Pocket-switch-network based services optimization in crowdsourced delivery systems (2017)		Computers & Electrical Engineering
09	Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation (2017)		Journal of Electronic Commerce in Organizations
10	FP-ABC: Fast and Parallel ABC Based Energy-Efficiency Live VM Allocation Policy in Data Centers (2016)		Scientific Programming

📃 Conference Proceedings

No	Title	DOI	Conference
01	A novel density peak clustering algorithm based on squared residual error (2017)		2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)
02	A Prediction of Financial Distress for Listed Companies of the New tertiary board Based on Factor Analysis and Logistic Regression (2016)		Proceedings of the 2016 International Conference on Education, Management Science and Economics

📖 Book Chapter

No	Title	DOI	Book Chapter
01	Parameters Estimation of Regression Model Based on the Improved AFSA (2017)		Recent Developments in Intelligent Systems and Interactive Applications

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1. Clustering-DatasetsClustering-DatasetsPublic

   This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

   301 221

2. 01_Python_Introduction01_Python_IntroductionPublic

   Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

   Jupyter Notebook 335 271

3. 09_Python_NumPy_Module09_Python_NumPy_ModulePublic

   Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientif…

   Jupyter Notebook 239 226

4. 10_Python_Pandas_Module10_Python_Pandas_ModulePublic

   Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manip…

   Jupyter Notebook 243 228

5. 07_Python_Advanced_Topics07_Python_Advanced_TopicsPublic

   You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.

   Jupyter Notebook 298 243

6. 93_Python_Data_Analytics_Projects93_Python_Data_Analytics_ProjectsPublic

   This repository contains all the data analytics projects that I've worked on in python.

   Jupyter Notebook 548 321