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Description: 说明：GraphicEx.pas文件使得TImage支持30多种图象格式，有TIFF images(*.tif *.tiff), SGI images(*.bw, *.rgb, *.rgba, *.sgi), ZSoft Paintbrush images(*.pcx, *.pcc), Kodak Photo-CD images(*.pcd), CompuServe images(*.gif), Photoshop images(*.psd, *.pdd), Paintshop Pro images (*.psp), Portable network graphic images (*.png), bitmap images(*.bmp, *.rle, *.dib), Portable pixel/gray map images(*.ppm, *.pgm, *.pbm)等等。
-: GraphicEx.pas document makes TImage support more than 30 image formats. a TIFF images (*. tif*. tiff), SGI images (*. bw.*. rgb,*. rgba,*. sgi) ZSoft Paintbrush images (*. ai,*. PCC), Kodak Photo-CD images (*. PCD), CompuServe images (*. gif), Photoshop images (*. psd,*. both), Paintshop Pro images (*. psp) Portable network graphic images (*. png). bitmap images (*. bmp,*. eps, and*. Freehand), Portable pixel/gray map images (*. ppm.*. pgm,*. pbm), and so on.
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Size: 936960 |
Author: 宋枫雅 |
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Description: 程序说明：
Form1.cs是应用聚类算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通过两个参数EPS和MinPts调节聚类。
DBSCAN.cs是实现文件，聚类算法的进一步信息请参考“数据挖掘”或者相关书籍
聚类示例数据来自于sxdb.mdb，一个Access数据库。
已知问题及进一步改进建议：
问题：dbscan.cs行64，SortedList不支持重复键，因此若两个数据点距离相同则无法加入集合
解决：采用人为减小一个微小量，使数据点距离不同且不影响聚类结果
上一解决方案的问题：减小double.Epsilon微小量无助于使SortedList认为两点距离以及不同
解决：采用一个指数增长的微小量，连续重试直至SortedList认为距离已经不同
进一步改进建议：可能通过double的强制转型为内存中的byte类型（假设double型转为8个byte）
然后最后一个byte减去0x01可比较漂亮的解决问题，但是……呵呵，C#中我不会这个操作
也可以自己实现一个SortedList，支持重复键，当然，这，好像是微软应该做的工作了 ^_^
Eric Guo
<http://www.cnblogs.com/ericguo/>
-procedures : Form1.cs clustering algorithm is applied DBSCAN (Density-Based Spati cal Clustering of Application with Noise) example, two parameters can EPS and MinPts regulation clustering. DBSCAN.cs is, the clustering algorithm further information please refer to the "data mining" or books related data clustering example from sxdb.m db, an Access database. Known issues and recommendations for further improvement : : 64 dbscan.cs OK, SortedList not support duplicate keys, and therefore if two data points from the same pool can not be solved by adding : By applying an artificially reduce a small amount of data from different points without clustering results on the impact of a solution of the problem : double.Epsilon small decrease in the amount of helplessness to make that 2:00 S
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Size: 26624 |
Author: Huang Yi |
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Description: 根据bresenham算法的精髓，逐点绘制椭圆-Bresenham algorithm in accordance with the essence of drawing ellipse point by point
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Size: 19456 |
Author: 嘟嘟囔 |
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Description: 通过Batik,你可以在JAVA可以使用的地方操作SVG文档，您还可以在你的应用程序使用Batik模块来生成 ， 处理和转码SVG图像。Batik很容易让基于Java的应用程序或小程序来处理SVG内容。 例如，使用Batik的SVG的发生器模块 ，Java应用程序或小程序可以很轻松地导出SVG格式的图形到。 用Batik的SVG的查看组件 ，应用程序或小程序可以很容易地集成SVG的浏览和交互功能。 另一种可能性是使用Batik的模块转换成各种格式SVG的通过，如光栅图像（JPEG，PNG或TIFF格式 ）或其它矢量格式（EPS或PDF格式 ，后两者由于转码器由Apache FOP提供 ）。 Batik工程创建的目的是为开发者提供一系列可以结合或单独使用来支持特殊的svg解决方案的核心模块。模块主要有SVGParser,SVGGernerator,SVGDOM。Batik工程的其他目的是使它具有高度的扩展性。-Batik, you can place operations in Java can be used SVG documents, you can also use in your application Batik modules to generate, processing and transcoding SVG images. The Batik very easy for Java-based application or applet to handle SVG content. For example, the use of SVG Batik generator module, Java applications or applets can easily export SVG format graphics to. Use the Batik SVG in view components, application or applet can be easily integrated the SVG browser and interactive features. Another possibility is to use the Batik modules convert various formats SVG through, such as raster images (JPEG, PNG, or TIFF format) or other vector format (EPS or PDF format, the latter two due to the codec by the Apache FOP provided). Batik works created aims to to support special svg solutions core module provides developers with a series can be combined or used alone. Module SVGParser, SVGGernerator, SVGDOM. Batik works other purpose is so that it has a high degree of scalability.
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Size: 23584768 |
Author: 唐基雄 |
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Description: java处理EPS,可以将PNG转换成EPS文件.-java deal with EPS, PNG can be converted into EPS files.
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Size: 1024 |
Author: 三丫蛋 |
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Description: java多因子模型开发范例，以EPS指标编写为范例，含A股所有代码，可以依据此进行拓展
多因子模型用于选股-java equity selection
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Size: 12288 |
Author: rucxxq |
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Description: # How To Run The Code ?
After downloading it to local,
1. cd to the folder of src/boliu/dbscansd/
2. compile all the .java files using:
javac *.java
3. cd to the folder of src/
4. execute the program using the following either command:
java boliu.dbscansd.Main inputfile outputfile lineNum eps minPts maxSpd maxDir isStop
* @param inputfile the input file path
* @param outputfile the output file path
* @param lineNum the designated number of trajectory points for clustering (if the size of the input file is less than lineNum, it will extract all the points)
* @param eps 1st parameter of DBSCANSD, the radius
* @param minPts 2nd parameter of DBSCANSD, the minimum number of points
* @param maxSpd 3rd parameter of DBSCANSD, the maximum SOG difference
* @param maxDir 4th parameter of DBSCANSD, the maximum COG difference
* @param isStop boolean value (0/1), if you would like to cluster stopping points (1) or moving points (0)
--e.g. java boliu.dbscansd.Main toy_data.csv output 70000 0.03 50 2 2.5 0
In this way, the program will do the job on toy_data.csv file.
It will extract the first 70,000 moving points from the data and then run DBSCANSD on the dataset.
The final output will be two files:
output_gv.csv (gravity vectors)
output_movingclusters.csv (original clustering results with more rows).
5. waiting for the result :) The running time will vary with different sizes of the input data and other input parameters.
6. Star it if it helps \*-\*
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Size: 11994582 |
Author: 648577896 |
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