kNNFastDTW | An implementation of kNN with FastDTW as distance

by ajohnston9 Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | kNNFastDTW Summary

kNNFastDTW is a Java library. kNNFastDTW has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

An implementation of kNN with FastDTW as distance measurement

Support

Quality

Security

License

Reuse

Support

kNNFastDTW has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

kNNFastDTW has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of kNNFastDTW is current.

Quality

kNNFastDTW has no bugs reported.

Security

kNNFastDTW has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

kNNFastDTW 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

kNNFastDTW 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 kNNFastDTW and discovered the below as its top functions. This is intended to give you an instant insight into kNNFastDTW implemented functionality, and help decide if they suit your requirements.

Converts an array to a Collection
2
Convert an array to a Collection
Converts a float array to a Collection
Converts a double array to a Collection
Convert a char array to a Collection
Converts a byte array to a Collection
Casts a boolean array to a Collection
Normalizes the FD
Calculates the Euclidean distance between vectors
Swap the template
Create a new WarpPath that mirrors this path
Returns a list of matching indices for the given index
Get the labels
Determines the first column in the given file
Adds the given objects to the last row
Calculates the Euclidean distance between two vectors
Determines the delimiter of a file
Returns a string representation of the index
Puts a value into the cell at the given cell
Convert the list of rows to a string
Puts a value into the swap table
Returns the value at the specified column
Compares this TimeSeries with the specified object
Compares the value of this WarpPath
Calculates the total cost of a warp path
Returns a string representation of the interval

Get all kandi verified functions for this library.

kNNFastDTW Key Features

No Key Features are available at this moment for kNNFastDTW.

kNNFastDTW Examples and Code Snippets

No Code Snippets are available at this moment for kNNFastDTW.

Community Discussions

No Community Discussions are available at this moment for kNNFastDTW.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install kNNFastDTW

You can download it from GitHub.
You can use kNNFastDTW 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 kNNFastDTW 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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