cluster-comparison-tools | Automatically exported from
kandi X-RAY | cluster-comparison-tools Summary
kandi X-RAY | cluster-comparison-tools Summary
cluster-comparison-tools is a Java library. cluster-comparison-tools has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Automatically exported from code.google.com/p/cluster-comparison-tools
Automatically exported from code.google.com/p/cluster-comparison-tools
Support
Quality
Security
License
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Support
cluster-comparison-tools has a low active ecosystem.
It has 1 star(s) with 1 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
cluster-comparison-tools has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of cluster-comparison-tools is current.
Quality
cluster-comparison-tools has no bugs reported.
Security
cluster-comparison-tools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
cluster-comparison-tools does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
cluster-comparison-tools releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed cluster-comparison-tools and discovered the below as its top functions. This is intended to give you an instant insight into cluster-comparison-tools implemented functionality, and help decide if they suit your requirements.
- Main method for testing
- Computes the fuzzy rand index of the two instances
- Calculates the Manhattan distance between two instances
- Computes the conditional entropy
- Computes the entropy of the variable - density distribution function
- Bins the specified value in the specified range
- Computes the discounted cumulative gain in agreement
- Returns a rank ordered among all senses in the set of senses
- Evaluate the instance
- Computes the weight of two instances
- Performs a mapping between each instance and the number of instances in the gold instances
- Returns the largest key
- Returns the minimum key
- Computes the direct match evaluation
- Computes the Jaccard index for the two senses
Get all kandi verified functions for this library.
cluster-comparison-tools Key Features
No Key Features are available at this moment for cluster-comparison-tools.
cluster-comparison-tools Examples and Code Snippets
No Code Snippets are available at this moment for cluster-comparison-tools.
Community Discussions
No Community Discussions are available at this moment for cluster-comparison-tools.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cluster-comparison-tools
You can download it from GitHub.
You can use cluster-comparison-tools like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the cluster-comparison-tools component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use cluster-comparison-tools like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the cluster-comparison-tools component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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