WekaBioSimilarity

Brought to you by: jonathanheras

Add a Review

Downloads: 0 This Week

Last Update: 2015-05-14

Download

Get an email when there's a new version of WekaBioSimilarity

Linux Mac Windows

WekaBioSimilarity is an extension of Weka that implements several measures to compare binary feature vectors; and, additionally, extrapolates those measures to work with multi-value, string and numerical feature vectors.

Features

Resemblance measures
Clustering
Weka

Project Samples

Project Activity

See All Activity >

Follow WekaBioSimilarity

WekaBioSimilarity Web Site

Other Useful Business Software

Cut Data Warehouse Costs by 54%

Easily migrate from Snowflake, Redshift, or Databricks with free tools.

BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.

Try Free

Rate This Project

User Reviews

Be the first to post a review of WekaBioSimilarity!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Java

Registered

2014-12-10

Report inappropriate content

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.

Try It Free

Recommended Projects

Measured Metronome
A Metronome with Measure+Beat/Half-Beat Display
LAMINA
LAMINA (Leaf shApe deterMINAtion) is a tool to provide classical measures of leaf shape (blade dimensions) and size (area) as well as measures that indicate asymmetry in leaf shape and measures of herbivory damage (missing leaf area).
Psycho-acoustic sound analysis package
PsySoundPro - audio file analysis for objective psychoacoustics measures. Includes measures like Virtual Pitch, Loudness, Etc. etc.
WekaBinaryMeasures
WekaBinaryMeasures is an extension of Weka that implements several measures to compare binary feature vectors; and, additionally, extrapolates those measures to work with multi-value, string and numerical feature vectors. Visit the wiki for information about installation and examples: https://sourceforge.net/p/wekabinarymeasures/wiki/Home/
Mulan
Mulan is a java library for learning from multi-label data. It is built on top of the Weka library and currently oﬀers a variety of classiﬁcation, ranking and feature selection algorithms, an evaluation framework that calculates several measures.