# lowest common denominator algorithm

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### A classical algorithm for machine learning and Python implementation--clustering and K-means and two-K-means clustering algorithm

SummaryClustering is unsupervised learning ( unsupervised learning does not rely on pre-defined classes or training instances with class tags), it classifies similar objects into the same cluster, it is observational learning, rather than

### The commonalgorithm idea of machine learning

Naive Bayes:Here are a few places to note:1. If the given eigenvector length may be different, this is the need to normalized to the length of the vector (here is the text classification for example), such as sentence words, the length is the length

### Common mathematical knowledge

Introduction I have seen a number of competitors complain that they are unfairly Disadvantaged because extends TopCoder problems are too mathematical. Personally, I love mathematics and thus I am biased in this issue. Nevertheless, I stronugly

### Natural language processing--TF-IDF Algorithm extraction keyword _ natural language processing

Natural language Processing--TF-IDF algorithm to extract key words This headline seems to be very complicated, in fact, I would like to talk about a very simple question. There is a very long article, I want to use the computer to extract its

### Hulu machine learning questions and Answers series | 17: Classical variant of random gradient descent algorithm

This is the second machine study this week, is also the 17th article of the Hulu Face Test series ~ All the content before can be found in the menu bar "machine learning", may you warm, know new.Today's content is"Classical variants of the random

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### The optimization algorithm in neural network

What is an optimization algorithm. Given an objective function with parameter θ, we want to find a theta that allows the target function to get the maximum or minimum value. The optimization algorithm is the algorithm that helps us find this theta.

### Fundamentals of DSP Data operation

Reprinted from: http://bbs.21ic.com/icview-841266-1-1.htmlIn the application of DSP, in fact, hardware is generally not a problem, the main is the software, is the algorithm! The following about the operation of the essence of DSP hope that some

### Application of cosine similarity

Http://www.ruanyifeng.com/blog/2013/03/tf-idf.htmlApplication of TF-IDF and cosine similarity (i): Automatic extraction of keywordsHttp://www.ruanyifeng.com/blog/2013/03/cosine_similarity.htmlApplication of TF-IDF and cosine similarity (II.):

### Application of similarity between TF-IDF and Cosine (I): automatic extraction of keywords

Reprinted from http://www.ruanyifeng.com/blog/ This title seems very complicated. In fact, I want to talk about a very simple question. There is a long article. I want to use a computer to extract its key words (automatic keyphrase extraction)

### [To] application of TF-IDF and cosine similarity (i): Automatic extraction of keywords

Original link: http://www.ruanyifeng.com/blog/2013/03/tf-idf.htmlThe headline seems to be complicated, but what I'm going to talk about is a very simple question.There is a very long article, I want to use the computer to extract its keywords

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