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milaan9/README.md

Hey! Nice to see you

milaan9 Followers Profile_Update

Hi, I'am Dr. Milaan! Associate Professor - Artificial Intelligence & Applied Computer Science GIF

GitHub LinkedIn ResearchGate ORCID publons GoogleScholar WeChat Skype

Languages
English ★★★
Mandarin ★★☆
Russian ★★☆
Hindi ★★★
German ★☆☆
NOW
  • Currently working on developing new clustering algorithms for autonomous pattern recognition

BIO

  • 🏢 Associate Professor at University 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 on Open Source Projects on
  • Ping me about and
  • Reach me: GitHub

Code Python Jupyter NumPy Pandas Ploty ScikitLearn SciPy TensorFlow MATLAB R C++ shell LaTeX

☰ 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) DOI Complexity
02 Stock price forecasting based on LLE-BP neural network model (2020) DOI Physica A: Statistical Mechanics and its Applications
03 REDPC: A residual error-based density peak clustering algorithm (2019) DOI Neurocomputing
04 A Novel Density Peaks Clustering Halo Node Assignment Method based on K-Nearest Neighbor Theory (2019) DOI IEEE Access
05 FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy (2019) DOI IEEE Access
06 Empirical likelihood based inference for generalized additive partial linear models (2018) DOI Applied Mathematics and Computation
07 GDPC: Gravitation-based Density Peaks Clustering algorithm (2018) DOI Physica A: Statistical Mechanics and its Applications
08 Pocket-switch-network based services optimization in crowdsourced delivery systems (2017) DOI Computers & Electrical Engineering
09 Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation (2017) DOI Journal of Electronic Commerce in Organizations
10 FP-ABC: Fast and Parallel ABC Based Energy-Efficiency Live VM Allocation Policy in Data Centers (2016) DOI Scientific Programming

📃 Conference Proceedings

No Title DOI Conference
01 A novel density peak clustering algorithm based on squared residual error (2017) DOI 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) DOI 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) DOI Recent Developments in Intelligent Systems and Interactive Applications
☰ Click for GitHub Stats (click to expand)

Milaan's Github readme stats milaan9

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Build README Python

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  1. Clustering-Datasets Clustering-Datasets Public

    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.

    300 221

  2. 01_Python_Introduction 01_Python_Introduction Public

    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 334 271

  3. 09_Python_NumPy_Module 09_Python_NumPy_Module Public

    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 237 225

  4. 10_Python_Pandas_Module 10_Python_Pandas_Module Public

    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 242 228

  5. 07_Python_Advanced_Topics 07_Python_Advanced_Topics Public

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

    Jupyter Notebook 299 243

  6. 93_Python_Data_Analytics_Projects 93_Python_Data_Analytics_Projects Public

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

    Jupyter Notebook 541 319