Free download NeuroXL Clusterizer

NeuroXL Clusterizer

4.0.5
NeuroXL Clusterizer is a neural network data cluster analysis add-in for Microsoft Excel
Free Download
User rating
4.3/10
7 votes
License
Shareware
OS
Windows
Developer
Version
4.0.5
File size
2.3 MB
Language
English
Release date
6 February 2015

Editor's review

This is a software tool that helps clusterize data in Excel sheet with the help of a neural network. Results are presented as graphs and charts to help you to interpret real world data and recognition of patterns.

NeuroXL Clusterizer is a neural network add-in for Microsoft Excel. It is designed to aid users in real-world data mining and pattern recognition. The way these recognition or data clustering is done is not visible to the user and thus he is not stressed with the complexity, but is presented with the data and any patterns found. NeuroXL Clusterizer uses already proven and accepted algorithms and techniques so that there are no doubts about the veracity of the results. Neural networks, as we know is a network of interconnected processors that work somewhat like the human brain. Connections are formed through a training period through which a particular approach to solving a problem is emphasized.

This NeuroXL Clusterizer software uses a self-organizing neural network to categorize by learning trends and relationships within a set of data. You could use one of five transmission functions available, threshold, Hyperbolic tangent, Zero-based log-sigmoid, Log-sigmoid and Bipolar sigmoid. There are a range of industrial problems that cannot be fitted into any system of analytical solutions, this then provides a tool for such problem solving through the power of neural network that has been suitably trained. For example, in finance, science, and business, analysts are often faced with the task of cluster analysis based on historical or measured data. Stock market analysts want to categorize a group of stocks as buy, sell, or hold and such other situations. A major difficulty faced by such analysts is that the data to be categorized can often be quite complex, with numerous interrelated variables. The time and effort required to develop a model to solve accurately such clusterization problems can be significant. You could try this tool out in your situation and see if it fits.

Publisher's description

NeuroXL Clusterizer is a neural network add-in for Microsoft Excel.
NeuroXL Clusterizer is an add-in for Excel designed to aid experts in real-world data mining and pattern recognition tasks. It hides the underlying complexity of neural network processes while providing graphs and statistics for the user to easily understand results. NeuroXL Clusterizer uses only proven algorithms and techniques, and integrates seamlessly with Microsoft Excel.
Neural networks are a proven, widely used technology to solve complex clustering problems. Loosely modeled after the human brain, neural networks are interconnected networks of independent processors that, by changing their connections (known as training), learn the solution to a problem. NeuroXL Clusterizer software implements self-organizing neural networks, which perform categorization by learning the trends and relationships within your data.
NeuroXL Clusterizer is a powerful, easy-to-use and affordable solution for advanced cluster analysis of simple and complex data. By harnessing the latest advances in artificial intelligence and neural network technology, it delivers accurate and fast classifications. Designed as an add-on to Microsoft Excel, it is easy to learn and use and requires no importing or exporting of data. Five transmission functions are available to choose: Threshold, Hyperbolic tangent, Zero-based log-sigmoid, Log-sigmoid and Bipolar sigmoid. Moreover, it is possible to save the trained network and then load it when necessary.
NeuroXL Clusterizer can be applied to solve problems in numerous industries and disciplines, including finance, business, medicine, and research science.
NeuroXL Clusterizer's ability to handle numerous, often-interrelated variables makes it widely applicable for market data cluster analysis. For example, a trader may wish to cluster stocks as buy, hold, or sell being based on historical data.
NeuroXL Clusterizer
NeuroXL Clusterizer
Version 4.0.5
Free Download

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