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 Vertical Fragmentation Of Data 

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SpiceCharts 3D Vertical Bar Chart applet allows you to create vertical 3D bars charts for a single series of data.

VerticalBarCharts Features: Vertical 3D bars charts for a single series of data with configurable title, transparency, colors, position of percents, X and Y axis description, positions and size of chart elements.

This function creates a 2D scatterplot from two data vectors, and puts a univariate histogram for each vector at the horizontal and vertical axes of the plot.

This java Data Grid Control applet enables the display of data in rows and columns in java and web applications. Powerful features include Fast Sorting, Data Acquisition, URL Hyperlinks, Embedded Images, Column Totals and much more.

This webinar focuses on strategies and techniques for handling large amounts of data in MATLAB, including:

d-deD? Understanding memory and its constraints
d-deD? Maximizing system resources
d-deD? Minimizing your memory...

PHP Layers Menu is a hierarchical menu system to prepare "on the fly" DHTML menus relying on the PHP scripting engine for the processing of data items.

It supports a wide range of browsers: Mozilla, Konqueror, Netscape,...

The unique task of data shaping is revealed with more children and grandchildren data shapes. The author proves this through an example in which he represents professor, classes and the research projects. At the end of this article the author...

Introducing a suite of data aware and non-data aware components to help you display data in an efficient and compact manner while enabling full control over runtime display characteristics and data manipulation behavior. The ExpressInspector...

map() applies a function to a list of data sequentially. This is a variation to map that execute each function call concurrently in a thread.

Maintains sorted data as new elements are added and old one removed as a sliding window advances over a stream of data. Also gives fast indexed access to value. Running time per median update is proportional to the log of the window size.

Recipe which can be conveniently used to obfuscate a string of data
using simple xor without using any key.

Two methods to return the intersection/union of sets of data, where the form of the data is not a limiting factor.

This Java applet implements a 3-D vertical bar chart data viewer. Bars, images, text, colors, fonts, and gridlines are all customizable.

If you move the mouse over the graph you will see a pop-up data value.

In order to...

This function treats a matrix as a column-wise set of signals and circularly shifts each column so that it aligns with the first column of data so that the inner product between those columns is maximized with respect to all other shifts.

As an example, suppose you had taken 155 seconds of data of the location (x,y,z) of a particle as a function of time (t). It is convenient to put that all into a struct, such as this one:

>> data

data =


Using this script, you can generate a set of data regarding Sun Azimuth Positions at various instants of time for any location on Earth. This data can be used in many applications, like, in determination of orientation of any plane's azimuth from...

Association rules are a simple but very useful form of data mining that describe the probabilistic co-occurrence of certain events within a database. They were originally designed to analyse market-basket data, in which the likelihood of items...

In this prj we attempt to classify a number of Company Logos by assigning to each 2 distinct signatures extracted by a special horizontal and vertical scan of each image matrix. Each Logo picture is truncated to binary after resizing. This is done...

Performs hierarchical clustering of data using specified method and
seraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al - Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional...

The idea is to give more emphasis in some examples of data as compared to
others by giving more weight. For example, we could give lower weights to
the outliers. The motivation to write this function is to compute percentiles

This function will summarize a 1-D vector of data (i.e. 1 column) based on what the user specifies as the statistic (e.g. mean, sum, etc.). It uses no loops, so it is extremely fast. However, it will use up memory as a result. I've included memory...