## NLP: Text Clustering [PCA -- > K-means]

What is text clustering? Text clustering is to transform the original natural language text information into mathematical information, which is displayed in the form of high-dimensional spatial points. By calculating the distance between those points, those points are clustered into a cluster, and the center of the cluster is called the cluster ...

Added by **pbsperry** on *Tue, 22 Feb 2022 20:49:19 +0200*

## Using k-means clustering to generate SSD anchor frame aspect ratio

(this article is part of TensorFlow Object_detection API framework, which is used to train your own model anchor box.) Many object detection models use anchor boxes as the area sampling strategy, so during training, the model learns to match one of several predefined anchor boxes with the ground live boundary box. In order to optimize the accur ...

Added by **patryn** on *Tue, 15 Feb 2022 08:34:50 +0200*

## Clustering iris dataset using KMeans

1, Basic knowledge of cluster analysis
Cluster analysis is also called clustering. It is different from classification. The target variables of classification are known. Each sample has a class label, and the target variables of clustering are unknown in advance. The sample categories of clustering are not defined in advance. Clustering is div ...

Added by **halfman** on *Wed, 12 Jan 2022 22:20:27 +0200*

## Implementing k-means algorithm from 0

k-means algorithm
Partition based method
Given a data set D with N data objects and the number of clusters to be generated K (k < n), in the partition method D, the objects are allocated to K groups, and each group represents a cluster. Then an objective function is used to evaluate the partition quality, so that the objects in the cluster ...

Added by **cjacks** on *Thu, 16 Dec 2021 10:50:23 +0200*

## Machine Learning (Wu Enda ＜ V ＞ K-means and PCA)

catalogue
Unsupervised learning 1 -- clustering
What is unsupervised learning?
What are the applications of clustering?
K-means algorithm
Language expression steps
Pseudo code represents the process of k-means
It is often used to solve the problem of poorly separated clusters
Optimization objectives
Random i ...

Added by **sharugan** on *Sun, 21 Nov 2021 22:36:59 +0200*

## Machine learning sklearn ---- first knowledge of KMeans

summary
KMeans is an unsupervised learning method. He is a classification algorithm. It is used to explore the original data and classify the samples with the same attributes in the original data. This article only talks about the simple use of KMeans. For the content about the evaluation results, see my next article.
Several concepts in ...

Added by **leafface** on *Sat, 16 Oct 2021 08:32:10 +0300*