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KRKmeans-Algorithm VS DimML

Compare KRKmeans-Algorithm VS DimML and see what are their differences

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KRKmeans-Algorithm logo KRKmeans-Algorithm

KRKmeans-Algorithm implemented K-Means the clustering algorithm and achieved multi-dimensional clustering that could be used in data mining, image compression and classification.

DimML logo DimML

The DimML programming language enables users to run any data solution on any website with only a single line of code.
  • KRKmeans-Algorithm Landing page
    Landing page //
    2023-10-15
  • DimML Landing page
    Landing page //
    2019-06-03

KRKmeans-Algorithm

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Python Tools
  • Software Libraries
Website github.com
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DimML

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Python Tools
  • Software Libraries
Website dimml.io
Edit details

Category Popularity

0-100% (relative to KRKmeans-Algorithm and DimML)

KRKmeans-Algorithm

DimML

Data Science And Machine Learning
6 6%
Data Science And Machine Learning
94% 94
Data Science Tools
6 6%
Data Science Tools
94% 94
Python Tools
4 4%
Python Tools
96% 96
Software Libraries
50 50%
Software Libraries
50% 50

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What are some alternatives?

When comparing KRKmeans-Algorithm and DimML, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

NumPy - NumPy is the fundamental package for scientific computing with Python

OpenCV - OpenCV is the world's biggest computer vision library

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

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