Search
Code Directory
 ASP
 ASP.NET
 C/C++
 CFML
 CGI/PERL
 Delphi
 Development
 Flash
 HTML
 Java
 JavaScript
 Pascal
 PHP
 Python
 SQL
 Tools
 Visual Basic & VB.NET
 XML
New Code
VB.Net PDF 4.4.7
SuiteCRM Survey Rocket Plugin 1.0
Airbnb Clone Script | Airbnb Clone 4.3.1
IP2Location Geolocation Database 2018
ODBC Driver for Salesforce 1.5
Rapid PHP 2018 15.0
Bytescout BarCode Generator SDK 4.70.0.981
Data Puppy Lite (32-bit) 1.0
ProZ clone script 1.0.3
VideoCap Live Streaming SDK ActiveX 8.5
Magento Web to Print 1.0
dbForge Data Compare for MySQL 5.4
dbForge Query Builder for MySQL 4.3
ODBC Driver for NetSuite 1.2
Rapid CSS 2018 15.0
Top Code
Mann-Kendall Tau-b with Sen's Method (enhanced) 1.0
Online Food Ordeing System 1.0
OpenCV Delphi wrapper 1.0
Etsy Clone Script v 2.0
Fuzzy k means 1.0
Low Pass Butterworth Filter 1.0
ABBYY FineReader Engine 9.0
Advanced Forced Matrix Script 1.0
Feed The Snake 1.3
OpenELD 1.0
BMI Calculator Widget 1.3
Pro MLM 1
Dione Card Validator 1.0.2
ECG Beat Calculation 1.0
Test and Measurement Widgets 1.0
Top Rated
Output Messenger 1.8.0
Aliexpress Clone- Ec21 Script 1
Indiegogo Clone 3.0
Online Food Ordeing System 1.0
PHP Image Resize Script 1.0
Best Spotify Clone 1.0
Get Random Record Based on Weight 1.0.0
Travel Portal Script 9.29
Magento Product Designer 1.0
OFOS - Just Eat Clone Script 1.0
PrestaShop Upload Images Module 1.2.1
Trading Software 1.2.4
Deals and Discounts Website Script 1.0.2
ADO.NET Provider for ExactTarget 1.0
Solid File System OS edition 5.1
k-Means Projective Clustering 1.0
File ID: 79290






k-Means Projective Clustering 1.0
Download k-Means Projective Clustering 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 10.0 KB
Downloads: 391
User Rating:5 Stars  (1 rating)
Submit Rating:
k-Means Projective Clustering 1.0 Description
Description: An implementation of "k-Means Projective Clustering" by P. K. Agarwal and N. H. Mustafa.

This method of clustering is based on finding few subspaces such that each point is close to a subspace.

License: Shareware

Related: Finding, Based, subspaces, Point, subspace, Close, Clustering, method, projective, quotkmeans

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 10.0 KB

Downloads: 391



More Similar Code

Codes for fuzzy k means clustering, including k means with extragrades, Gustafson Kessel algorithm, fuzzy linear discriminant analysis. Performance measure is also calculated.



This is a tool for K-means clustering. After trying several different ways to program, I got the conclusion that using simple loops to perform distance calculation and comparison is most efficient and accurate because of the JIT acceleration in...



The k-means algorithm is widely used in a number applications like speech processing and image compression.

This script implements the algorithm in a simple but general way. It performs four basic steps.

1. Define k arbitrary...



Hard and soft k-means implemented simply in python (with numpy). Quick and dirty, tested and works on large (10k+ observations, 2-10 features) real-world data.



K-means image segmentation based on histogram to reduce memory usage which is constant for any image size.



Usage: [means,c]=KNMCluster(k,indata)

KNMCluster is an implementation of the K-means clustering algorithm. It takes inputs k and indata. k is the initial guess of the number of clusters.

indata is the aggregate data that you...



Clustering problems are solved using various techniques such as SOM and K-Means. The generic problem involves multi-attribute sample points, with variable weights. We use Genetic Algorithms to build a scalable, generic & easy to use solution.



[L, C, D] = FKMEANS(X, k) partitions the vectors in the n-by-p matrix X
into k (or, rarely, fewer) clusters by applying the well known batch
K-means algorithm. Rows of X correspond to points, columns correspond to
variables. The...



Description DC is simple and effective which can outperform the K-means and AP algorithm.



PBKM is simple and effective which can outperform the K-means algorithm.

User Review for k-Means Projective Clustering
- required fields
     

Please enter text on the image