NeuroXL Clusterizer

Category Intelligent Software>Neural Network Systems/Tools and Intelligent Software>Data Mining Systems/Tools

Abstract NeuroXL Clusterizer is an advanced and easy-to-use neural network (NN) software tool for data cluster analysis in Microsoft 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.

The NeuroXL Clusterizer uses only proven algorithms and techniques, and integrates seamlessly with Microsoft Excel.

The Value of Neural Networks for cluster analysis --

In finance, science, and business, analysts are often faced with the task of cluster analysis based on historical or measured data. Stock market analysts may wish to categorize a group of stocks as buy, sell, or hold; a cancer researcher may wish to categorize a list of tumors as benign or malignant; a mortgage analyst may wish to categorize loans as good or bad.

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.

Neural networks are a proven, widely used technology to solve such complex classification 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 by AnalyzerXL implements self-organizing neural networks, which perform categorization by learning the trends and relationships within your data.

Despite their effectiveness, neural networks are often Not used for cluster analysis due to their complexity. NeuroXL Clusterizer removes these barriers by hiding the complexity of its advanced neural network-based methods while taking advantage of the analysts' existing knowledge of Microsoft Excel spreadsheets.

You simply supply the data, and NeuroXL Clusterizer implements a neural network that segments your data according to your preferences. Since users supply data through the familiar Excel interface, learning time is minimal, greatly reducing the interval between installing the software and performing cluster analysis.

The application is extremely intuitive and easy-to-use for beginners, Not requiring any previous knowledge of neural networks, yet advanced enough for the most demanding professionals.

In summary, these are the key advantages of NeuroXL Clusterizer:

1) Easy to learn and use.

2) No advanced knowledge of neural networks required.

3) Integrates seamlessly with Microsoft Excel.

4) Provides proven neural network technology for highly accurate data clustering.

5) Detects relationships and trends in data that traditional methods overlook.

6) Maximum effectiveness for affordable price.

NeuroXL Clusterizer can be applied to problems in a variety of areas and industries --

These areas and industries include:

Research Science -- Researchers are often faced with the task of classifying chemicals, animals, cells, materials or other items based on measured or historical data. NeuroXL Clusterizer's ability to spot trends and relationships in large data sets makes it well suited for such applications. Specific examples include:

1) Protein sequencing.

2) Weather pattern classification.

3) Air quality analysis.

4) Insect gender determination.

Marketing -- Cluster analysis is one of the most effective and frequently used techniques by marketing researchers. Explore new opportunities with NeuroXL Clusterizer:

1) Segmenting the market and determining target markets.

2) Successful new product development and precise positioning.

3) Reveal new customer groups Not obvious at first sight.

4) Selecting test markets.

Finance -- NeuroXL Clusterizer's ability to handle numerous, often-interrelated variables makes it widely applicable to the financial industry. One such application is financial risk assessment, where NeuroXL Clusterizer can be used to categorize loan applications as good or bad.

Another is stock market analysis, where a trader may wish to classify stocks as buy, hold, or sell based on historical data. Other applications include:

1) Credit scoring.

2) Bond ratings.

3) Mortgage risk analysis.

General Business -- NeuroXL Clusterizer's advanced clustering abilities and integration with Microsoft Excel make it an advanced and practical tool for solving business problems. Examples of typical applications include:

1) Sales prospects cluster analysis.

2) Direct mail optimization.

The Advantages of NeuroXL Clusterizer over the Competition --

Common complaints heard about other clustering software packages are that they are too slow, too difficult to use, or that data must be re-formatted before processing. NeuroXL Clusterizer, using optimized neural network (NN) technology, produces cluster analysis quickly and efficiently.

It also requires No prior knowledge of neural networks, and is extremely easy-to-use. Being integrated into Microsoft Excel leverages your existing application knowledge and eliminates the need to export data and import the results.

Useful cluster analysis can be performed often just minutes after installation. Users just need to specify input and output references, perform a few mouse movements, and their clustering is returned.

System Requirements

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Manufacturer

Manufacturer Web Site NeuroXL Clusterizer

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G6G Abstract Number 20116R

G6G Manufacturer Number 101048