Refers to techniques for classifying data into categories based on similarities (which can either be known previously, or learned).

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68 views

What statistical analysis should I use for this (attached) dataset?

I have a dataset of 815 positive examples and 9492 negative examples for a certain class. Each example is represented by 12 features and a target label (i.e. TRUE/FALSE). The dataset is in a CSV file ...
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2answers
47 views

Why applying the same test to several hypotheses reduces its rejection power?

Reading "Kernel Methods for Pattern Analysis", by John Shawe-Taylor, I've got stuck into this sentence: [...] if we applied the same test for $n$ hypotheses $P_1, \dots, P_n$, and found that for ...
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14 views

Anomaly Detection: Pattern Recognition inTime Series

I am trying to implement an anomaly detection tool based on Pattern Recognition. The data I am working on are periodic.I extract the pattern from a training set and then compare it to data in the ...
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2answers
29 views

Text Pattern Recognition - Model building using R

I have a training dataset which has two columns which has around 70 values. “PNRNo” whose values like UT767G, CADA, 4I9I59, 4BH5TW…(typical PNR number patterns) I have created one more factor ...
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15 views

pattern recognition in spatial data in R

I am currently working on telemetry data for the wild animals. I have extracted their paths over the map. I have also calculated the angular movement per activity. In my dataset I am given with the ...
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24 views

Any idea about application of deep dream? [migrated]

Recently Google publicized interesting deep dream. Besides art generation such as http://deepdreamgenerator.com/, do you see any potential applications of deep dream in computer vision or machine ...
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9 views

How many samples do I need for OCR problems?

I am thinking about collecting samples of hand written digits (0 to 9) from people. I'll try to test different algorithms for optimal character recognition- some form of neural network and random ...
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1answer
40 views

Classifying sequences of handwritten digits

What's the best approach for recognising a sequence of handwritten digits? EDIT: By this I mean a program that might, for example, take this image as input, and output: 123. Initial idea: Separate ...
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1answer
13 views

Finding a different pattern from the determined pattern

I have set the determined set of pattern that is like this (0.12,0.14,1.00,0.1,1.82), and I want to figure out whether 1000 other sets of 5 points follow the same pattern as the above (which is ...
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1answer
13 views

Value of support in frequent pattern matching

I'm working with an extremely small & sparse dataset (~20k lines of transaction data) where about 92% of the lines contain a single item and the remaining 8% contain between 2 and 7 items. I want ...
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1answer
21 views

Pattern Recognition - Visualizing Dense Data Points

I have a sample of around 5000 data (2D) points that are generated through a simulation of a cryptocurrency's mining events of following form. In column 2 one can see identical y-values with ...
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38 views

Problem with backpropagation algorithm for Feedforward Neural Networks

The objective When trying to exercise my knowledge of Feedforward Neural Networks, I started implementing one. The result is here. The final goal is to predict some handwritten digits data I have. ...
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38 views

How do I use Hidden Markov Model Viterbi algorithm for sequence labeling?

with my current small experience of HMM. Given that i have some patterns (sequence of interest for example gestures or words in spoken language) if i need to use HMM for sequence classification ...
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63 views

C++ Pattern Matching with FFT cross-correlation (Images) [closed]

Hello everyone I am trying to implement patter matching with FFT (cross-correlation) (I am using this https://www.cs.uaf.edu/2007/spring/cs481/lecture/03_29_fft_image.html as reference) The idea of my ...
4
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2answers
73 views

Analyze trend given a set of points

Suppose I have a set of N values representing EUR/USD rate... [ 1.10 , 1.20 , 1.25, 1.20, 1.19 ] Which is the simplest way for analyzing if values tend to raise or tend to fall? I'm looking for a ...
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10 views

Touch times to authenticate user

for a project I gathered touch data of different users when they tap a rhythm repeatedly on the touch screen in a game. ...
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2answers
94 views

How to model the problem of predicting failure in Server Clusters

The problem goes as follows - There is a cluster of Servers. Whenever there is failure/anomaly in any of the server, a report is logged. Some of the features of the log report are Time of Failure ...
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34 views

Finding patterns within inconsistent data

If I have a database full of data sets that I collected from a material sample going through light sensors. Each sample is similar but the data can be inconsistent depending on many factors. I ...
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21 views

How can I train HMM for continuous sign language recognition?

Currently I can recognize isolated words using HMM (Hidden Markov Model) through training an HMM model for each sign, and for a new word I take the sign for the model giving the highest likelihood. ...
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7 views

Find patterns in a collection of timely oriented events

I need a way to recognize patterns in a collection of events. A common scenario would be a bank account transaction log with hundreds of thousands of transactions and within this log recognize ...
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0answers
51 views

How do I calibrate iPhone in a car? [closed]

I'm trying to make an app for detecting car maneuvers based on accelerometer/gyro data. To build a good classifier my data should be aligned to the car axes: I developed an algorithm that is ...
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0answers
26 views

Describing the distribution of N points in D-dimensional space?

I want to tackle a classification problem by describing the samples as its descriptors' distributions. So let's say each sample has a label, and $N$ vectors of dimension $D$, (N and D are fixed) and ...
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37 views

UCI Machine Learning Data Set: Parkinson Speech Dataset with Multiple Types of Sound Recordings Data Set

I would like to use the data set Parkinson Speech Dataset with Multiple Types of Sound Recordings Data Set from UCI to test pattern recognition algorithms. However when I plot the features and ...
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55 views

Analysis of Ordinal Value Time Series

I have to analyze a number of ordinal value time series with different lengths. Just to be clear: ...
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1answer
59 views

Examine historical demand data

I have to examine historical sales data in order to figure out which calendar events have an influence. I would like to ask for some feedback if it makes sense or what I could do better. What I have: ...
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1answer
81 views

Training data set size and SVM classifier

I want to do a multi-class classification of human action recognition. I plan to collect data. So, How can I estimate the minimum data set size. What are the important parameters?
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1answer
121 views

R: Finding relationships between 2 variables to determine any patterns in data

I am working on finding relationships/patterns between 2 variables (Type_A, Type_B). ...
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1answer
81 views

What are the benefits for semi-supervised learning over unsupervised clustering? Or any limitations?

I have another question about semi-supervised learning vs unsupervised clustering, what are the benefits and limitations? I have got some data with labels and some without labels. I performed ...
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53 views

Semi-supervised learning vs supervised learning, what are the benefits and limitations?

Just wondering if any previous work compared semi-supervised learning vs supervised learning? Currently, I have got both datasets with and without labeling. And therefore, it is intuitive for me to ...
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61 views

pattern recognition or clustering for analyzing seasonal data

I have a set of historical data for an event which is highly seasonal. The event can be held in spring and summer but it is not planned for fall and winter. I wanted to forecast days to the next event ...
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1answer
148 views

two margin comparison and one conclusion?

I read following notes, and couldn't get it. any idea or hint would highly appreciated. a SVM classifier using a second order polynomial kernel. The first polynomial kernel maps each input data x to ...
2
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1answer
30 views

variance in test accuracy will increase as we increase the number of test examples؟

I see this statement on 1 that say a True statement on Machine Learning Context. The variance in test accuracy will increase as we increase the number of test examples. my challenge is why ...
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18 views

How to visualise the uncertainty of the classification?

I used SVM to do some classification, and SVM can output some probabilities (likelihood) value measuring how likely each data to be one particular class. For example, Data point 1: 90% (class 1) 5% ...
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2answers
68 views

Semi-supervised Learning Training

I have got some data partially labelled. Therefore, I would like to apply semi-supervised learning for this dataset. Basically, I trained the Support Vector Machine (SVM) using the data with labels ...
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27 views

Importance of the norm of the weight vector in the perceptron algorithm

I have exhausted all possible searches online on the role of the norm of the weight vector in binary classification. The only information i am getting is that it prevents over-fitting. I don't see how ...
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34 views

Find repetitive patterns in matrices below

How can I identify the repetitive patterns from the matrices below? My problem is that the patterns in the matrix are different from matrix to matrix (dependent on the input data). I need some machine ...
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21 views

How to Calcuate Segment & Symbol Periodicity

I want to calculate segment and symbol periodicity using R. Has any one done it before as i am relatively new to R? i have a lot of timeseries with irregular sporadic data and i want to find out if ...
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20 views

formula for extrapolating recognition rate as a function of number of possible matches

What would be a formula for extrapolating behavior of an algorithm that was tested with small number of false positives, say 10 or 100 but I want to know the rate with 1000. E.g., the recognition rate ...
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25 views

Determining if data follows a Sigmoid function given data that does

I am essentially trying to determine if some gene expression data I have follows as circadian pattern. Currently I have gene expression data for genes know to follow a circadian pattern. I want to ...
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1answer
73 views

k-means and other non-parametric methods for clustering 1 dimensional data

I know that a few people asked this question before and that clustering is not the best method for 1 dimensional data. However, I saw that in some published papers people used k-means clustering for 1 ...
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29 views

Generalised itemset mining?

As far as I understand, the common approaches to itemset mining assume the following: An itemset is a conjunctive logical clause (which in some approaches allow negation) All items are in principle ...
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43 views

analysis of bank account record

I am new to the field of time series analysis, but I would like to have a look at my bank account and determine my spending habits. I read a lot about clustering of multiple time series but I think I ...
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1answer
72 views

Sequential pattern matching in time series data

If I have a time series set such as x=[0,2,5,2,3,1,0] that represents an artifact. What is the best way to match a similar set as x in a larger data set y?
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235 views

Can a Naive Bayes Model predict using pattern alone?

Say I have a set of data abc-def-ghi jkl-mno-pqr stu-vwx-yza and lots of other training samples which are catagorized as **names*. The above dataset does not have ...
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1answer
123 views

Mortgage loan predictive analysis

I have hundreds of thousands of mortgage loan historic records that look like these 2 examples: ...
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2answers
156 views

Finding occurrences of specific patterns in time series

I have to locate occurrences of Cyllinder, Bell and Funnel patterns in univariate time series $X$ of gamma-ray sensoring. This is a specific case of the general CBF synthetic problem found in a few ...
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0answers
153 views

Pre-processing before digit recognition for NN & CNN trained with MNIST dataset

I'm trying to classify handwriting digits, written by myself and a few friends, by usign NN and CNN. In order to train the NN, MNIST dataset is used. The problem is the NN trained with MNIST dataset ...
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9 views

Separability measures

I am just studying pattern recognition. In that regard, my question is Why we need separability measures? Would you please give me detail explanation and suggest some books to read?
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11 views

Clusteriod questions

I would like to clear some things up because I'm confusing everything. A $clusteriod$ is a coordinate for the mean value of a cluster? So if I have a 2-d .csv file I wish to perform kmeans, the ...
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13 views

EM/K-means task at hand/confusing

Hello I am getting into machine learning and patter recognition, however it's still quite a jungle at the moment. I am using WEKA and Java to try and create my first program. The following is what ...