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Cint(C/C++ interpreter, C-int)是一个C++解释器,顾名思义,和GCC、VC等编译器不同,它是解释执行C++代码的。它具有的能力有: 支持 K&R-C, ANSI-C, ANSI-C++ 可处理大规模C/C++源码 动态C++ 内置的Debugger和Class Browser Cint可以在不少操作系统上工作 -Cint (C/C++ interpreter, C-int) is a C++ interpreter, by definition, and the GCC, VC and so different from the compiler, which is to explain the implementation of C++ code. It has the ability to: support for K & R-C, ANSI-C, ANSI-C++ can handle a large-scale C/C++ source code dynamic C++ built-in Debugger and Class Browser Cint can be a lot of work on the operating system
Date : 2025-12-31 Size : 1.9mb User : hopper

DL : 0
k means matlab algorithm
Date : 2025-12-31 Size : 2kb User : sudheer

DL : 0
Algorithm k-means is a simple iterative clustering algorithm, which divides the set of data to a user-specified number of clusters, k. The algorithm is simple to implement and run relatively fast, easily adaptable and common in practice. It is historically one of the most important data mining algorithms. Historically, that the K-means was discovered by several researchers various disciplines, especially Lloyd (1957, 1982), Forge (1965), Friedman and Rubin (1967), and McQueen (1967). Detailed history of K-means together with a description of various changes and given Jane Dubs.- Algorithm k-means is a simple iterative clustering algorithm, which divides the set of data to a user-specified number of clusters, k. The algorithm is simple to implement and run relatively fast, easily adaptable and common in practice. It is historically one of the most important data mining algorithms. Historically, that the K-means was discovered by several researchers various disciplines, especially Lloyd (1957, 1982), Forge (1965), Friedman and Rubin (1967), and McQueen (1967). Detailed history of K-means together with a description of various changes and given Jane Dubs.
Date : 2025-12-31 Size : 163kb User : ooo

distanc vector analysis motion algorithm for k means data
Date : 2025-12-31 Size : 4.85mb User : Prakhar Srivastava

The program is done by using k-means clustering method. We first read the image and then by assigning the cluster values we find distance and then updating it and shows the output
Date : 2025-12-31 Size : 1kb User : pavithra
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