Jupyter Notebook Clustering

Open-source Jupyter Notebook projects categorized as Clustering

Top 11 Jupyter Notebook Clustering Projects

  • pycaret

    An open-source, low-code machine learning library in Python

  • hdbscan

    A high performance implementation of HDBSCAN clustering.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • WallStreetBets_BigDataAnalysis

    Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏

  • amazon-denseclus

    Clustering for mixed-type data

  • RACplusplus

    A high performance implementation of Reciprocal Agglomerative Clustering in C++

  • Project mention: [P] I created a parallelized implementation of Agglomerative clustering that's many times faster than existing implementations and has a better runtime | /r/datascience | 2023-07-24

    Here is the code: https://github.com/porterehunley/RACplusplus. It would be great to have some people try it out (and find the bugs)!

  • BrewPOTS

    The tutorials for PyPOTS.

  • Project mention: We're building PyPOTS: a Python toolbox for data mining on Partially-Observed Time Series | /r/learnprogramming | 2023-06-19

    Due to all kinds of reasons like failures of collection sensors, communication errors, and unexpected malfunctions, missing values are common to see in time series from the real-world environment. No matter whether we like them or not, missing data makes partially-observed time series (POTS) a pervasive problem in open-world modeling and prevents advanced data analysis. Although this problem is important, the area of data mining on POTS still lacks a dedicated toolkit. PyPOTS is created to fill in this gap. PyPOTS (pronounced "Pie Pots") is the first (and so far the only) Python toolbox/library specifically designed for data mining and machine learning on partially-observed time series (POTS), namely, incomplete time series with missing values, A.K.A. irregularly-sampled time series, supporting tasks of imputation, classification, clustering, and forecasting on POTS datasets. It is born to become a handy toolbox that is going to make data mining on POTS easy rather than tedious, to help engineers and researchers focus more on the core problems in their hands rather than on how to deal with the missing parts in their data. PyPOTS will keep integrating classical and the latest state-of-the-art data mining algorithms for partially-observed multivariate time series. For sure, besides various algorithms, PyPOTS has unified APIs together with detailed documentation and interactive examples across algorithms as tutorials. Feedback, questions, and contributions are all very welcome! Website: https://pypots.com Paper link: https://arxiv.org/abs/2305.18811 GitHub repo: https://github.com/WenjieDu/PyPOTS Tutorials: https://github.com/WenjieDu/BrewPOTS Docs: https://docs.pypots.com

  • Machine-Learning-Algorithms

    All Machine Learning Algorithms

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  • wahlomat_analysis

    Analyzes www.wahl-o-mat.de German political party data

  • Mixclu

    A Python package for unsupervised mixed datatypes clustering

  • radius-constrained-kmeans

    Codes for "No More Than 6FT Apart: Robust K-Means via Radius Upper Bounds", ICASSP 2022

  • CSGO-Pro-Gear-Performance-and-EDA

    Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook Clustering related posts

  • We're building PyPOTS: a Python toolbox for data mining on Partially-Observed Time Series

    1 project | /r/learnprogramming | 19 Jun 2023
  • [R][P] A Python package for unsupervised mix data types clustering

    1 project | /r/MachineLearning | 22 May 2022
  • Hierarchical clustering algorithm

    1 project | /r/learnmachinelearning | 15 Apr 2022
  • New clustering algorithms like DBSCAN and OPTICS?

    1 project | /r/MLQuestions | 11 Jan 2022
  • DBSCAN ALternatives?

    1 project | /r/MLQuestions | 26 Dec 2021
  • Show HN: DenseClus, clustering for categorical and numeric data

    1 project | news.ycombinator.com | 6 Aug 2021
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 18 May 2024
    Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →

Index

What are some of the best open-source Clustering projects in Jupyter Notebook? This list will help you:

Project Stars
1 pycaret 8,491
2 hdbscan 2,686
3 WallStreetBets_BigDataAnalysis 166
4 amazon-denseclus 90
5 RACplusplus 43
6 BrewPOTS 40
7 Machine-Learning-Algorithms 25
8 wahlomat_analysis 10
9 Mixclu 9
10 radius-constrained-kmeans 2
11 CSGO-Pro-Gear-Performance-and-EDA 1

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