Consider an [arbitrary] piece of code. It's indoors, it's well behaved, and you can be proud of it. What is it about that code that you like? Is it elegant? Is it clever? Does it enable something? How would you measure the value of code?
Dessas noções é que trataremos neste artigo. Destinam-se principalmente aos autores de blogs, mas podem ser estendidas a todos os interessados em utilizar a internet como forma de comunicação. O objetivo é suprir o conhecimento básico do Direito qu
Requirements
The main requirements that a clustering algorithm should satisfy are:
scalability;
dealing with different types of attributes;
discovering clusters with arbitrary shape;
minimal requirements for domain knowledge to determine input parameters;
ability to deal with noise and outliers;
insensitivity to order of input records;
high dimensionality;
interpretability and usability.
MSTROHM: "Why lists won't become superfluous."
The list is the origin of culture. It's part of the history of art and literature. What does culture want? To make infinity comprehensible. It also wants to create order -- not always, but often. And how, as a human being, does one face infinity? How does one attempt to grasp the incomprehensible? Through lists, through catalogs, through collections in museums and through encyclopedias and dictionaries.
[...]
In the case of Google, both things do converge. Google makes a list, but the minute I look at my Google-generated list, it has already changed. These lists can be dangerous -- not for old people like me, who have acquired their knowledge in another way, but for young people, for whom Google is a tragedy.