Anomaly Detection: detecting intrusions in unlabeled data

Stängt Publicerat Mar 22, 2015 Betalades vid leverans
Stängt Betalades vid leverans

Anomaly Detection: detecting intrusions in unlabeled data using clustering(single-linkage clustring) , Kth-nearest nieghbor(KNN), and support vector Machines (SVM).

it requiers unsupervised learning exprience.

Informationsutvinning (Data mining) Machine Learning (ML) Matlab and Mathematica

Projekt-id: #7353824

About the project

3 offerter Distansprojekt Aktivt Apr 29, 2015

3 frilansare har lagt bud på i genomsnitt $50 för det här jobbet

ognjen011

A proposal has not yet been provided

$79 USD inom 1 dag
(137 omdömen)
6.6
sondossheb

Hello Sir, I've 9 years of experience in machine learning supervised and unsupervised learning, I've done many task using K-means clustering and agglomerative clustering (single linkage, complete linkage or average Mer

$15 USD inom 3 dagar
(0 omdömen)
0.0