Examples of using Persimplex in English and their translations into Slovak
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Official/political
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Computer
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Programming
What are the main perSimplex benefits?
PerSimplex represents a new unique technology which is highly competitive on the global markets.
Take advantage of our services and let perSimplex demonstrate its uniqueness on your company data.
PerSimplex is a unique and universal analytical tool based on the method of natural data shape analysis.
SimplexDivide Enterprise represents a perSimplex version which is able to process 1440 columns in.
PerSimplex server solution is primarily intended for organisatons whose success is measured by precise and quick decisions.
This Manual includes several demonstration examples,which explain the method of work with perSimplex product.
The price of perSimplex product is flexible and depends on the data volume to be processed by the client.
The marking of columns with discrete values is executed within the perSimplex product directly in the first row of the CSV input file.
During the real use of perSimplex product cases happen when the input data contain either unknown or non-found values.
Umaa Demo The demo example of the analysis of the businessactivity of 100 dealers during 24 months with and without of perSimplex.
The perSimplex product concept is inspired by the known Latin phrase:„divide et impera“, which means„divide and rule“.
Your data represent excellent knowledge andinformation which we are able to„revive“ with perSimplex and bring your business a marvellous effect.
Another substantial advantage of perSimplex product is the ability to distinguish even very small differences in curve shape.
The assignment of unknown value to the individualcolumns of the input file is executed within the perSimplex product directly in the first row of the CSV input file.
Umaa Price Quotation The price of perSimplex product is flexible and depends on the data volume to be processed by the client.
PerSimplex does not require any installation complicated by different entries in the environment of MS Windows and the subsequent compatible versions.
The speed of data processing is one of the greatest perSimplex software advantages and is related to the linear computing complexity of perSimplex algorithm.
PerSimplex is an intelligent software tool designed for numeric data processing aimed at obtaining valuable knowledge and information.
This allows the performance of data analyses by the perSimplex product users for their clients without need for installation of the key SimplexDivide application at the client.
PerSimplex is used by university students and professors, small family companies, small and medium enterprises, as well as multinational corporations administrated neverending amount of data.
Umaa Installation perSimplex does not require any installation complicated by different entries in the environment of MS Windows and the subsequent compatible versions.
PerSimplex is exceptional due to its ability to perceive in reality the degree of the curves shape similarity and the ability to utilize this similarity degree for the identification of the substantial clusters of curves.
At the real use of the perSimplex product, it is always necessary to prepare the input data in a manner allowing reaching the sufficiently specific shape of the diagram curves in order to generate the clusters.
PerSimplex product is characterized by the algorithm of linear complexity meaning that processing time increases continual proportion with the amount of curves and their points, and with the amount of identified clusters.
The licencing conditions for perSimplex Server allow to acces perSimplex application by tens of users in time, to analyse tasks in batches, and to process unlimited data volumes.
Examples of the case studies perSimplex analysis of internet users, questionary, consumers behavior, warehouse sales, business performance and more you can find in case study brochure.
Being a non-hierarchical cluster algorithm, perSimplex is able to identify adequate clusters at each level of strictness independently, without being determined or limited by separation at a lower or higher strictness level.