In this paper, we propose
a hierarchical clustering method using visual, textual and link
analysis. By using a vision-based page segmentation algorithm, a
web page is partitioned into blocks, and the textual and link information
of an image can be accurately extracted from the block containing
that image.
The dinamyc link library that contains an implementation of SHA1, SHA512, CRC32, CRC32b, Adler32, Twofish, TEA[N] algorithms and ECB, CBC, CFB, OFB, CTR cipher modes.
