When they represent one of the person, the house, documents, countries, and other data which is in

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Group home means (clustering) can the theory is that there are many similarities to that in the group as a collection of units to maximize the homogeneity the produce news of the elements and maximize the differences (heterogeneity) between the different the produce news groups of the cross a lot of data. The following is a specific technique to do this. In other words, saying that that tied into subgroups with similar characteristics may also be used as a one-way (an undirected) data mining techniques. the produce news There is no target variable as finding the produce news the hidden pattern without stand the specific hypothesis.
The following are representative of the Clustering Method There are two. Non-hierarchical (non-hierarchical) technique are classified into M clusters of N configuration factor. K- average the produce news algorithm (K-means algorithm) is inde typically operates in this case in a manner that minimizes the produce news the variance of the distance difference between each cluster and one cluster while enclosed in k given data. Made in the process of clustering multiple nested cluster (nested clusters) - The hierarchy (hierarchical) scheme.
Is widely utilized in the following cases are mainly clustered. Is widely used in the segmentation (segmentation) work primarily In particular, the customer segmentation (customer segmentation), products such according to purpose, size, brand, flavor typical granular formulation. anomaly detection (eg, identification of fraud transaction). This is a normal transaction ("normal" the produce news cluster) and abnormal trading sensitive or used for fraud detection through inspection of the carrier calling pattern analysis of drug side effects. Separated by small groups of data by dividing the large scale data. (For example, a different behavior may be compared to a smaller cluster group classification results of logistic the produce news regression analysis.)
Unlike classification, and does not rely on a previously defined class and no class label control and clustering is learning training experience. Thus the study, rather than grouping according to the example of a type of learning by observation. Constitute a class if you can not dictate the produce news to the concept of a group of objects is the concept of clustering. This is to measure the geometric distance based on the similarity clustering to other common points. It consists of two elements is a conceptual clustering. The description of each class, as (2) classified as finding (1) to the appropriate class. Guidelines to have low similarity between the class of high affinity and is still applied the produce news in the Class.
It has many applications, such as market and customer differentiation, pattern the produce news recognition, biological studies, spatial data analysis, cluster analysis of web document classification. That is, such as whether the object is evaluated by the degree of clustering among the binary clustering quality (quality) is for this purpose for the various types of data interval scale, binary, nominal, in order, a combination of such a variable rate, or a measure that is well clustering calculated ones. Even today, many clustering algorithms, which are constantly being developed, such as segmentation techniques, hierarchical methods, the produce news density-based the produce news method, grid-based methods, model-based techniques the produce news are leading to the algorithm. B. Type of data in the cluster analysis
When they represent one of the person, the house, documents, countries, and other data which is in a group of n 2 of the following the produce news acts nine kinds of data in the memory based clustering algorithm. Data Matrix (Data Matrix: object x variable structure): This indicates that the p variables (called a property or scale), such as age, height, the produce news weight, gender, race for the people. In the form of a relational table structure the produce news is hyeongryeol nxp, ie. (Nx object variable p)
shows the measured difference between the object i and an object j, or even different d (i, j) is. In general, or to an object i, j have a high affinity with each other that is situated 'near', and the difference further increases, the greater the number of non-negative value is closer to 0 d (i, j) is. get the same (8.2) and the matrix, so d (i, j) = d (j, i), d (i, i) = 0 is. This represents the open data lines and the other elements are different from the matrix to the matrix, on the other hand, also in the data matrix are often bimodal matrix (two-mode matrix) referred to as 1-calling mode, the matrix (one-mode matrix) referred to as the matrix is different the produce news from Fig. This is because to indicate the column and the same element. Many different populations uses a matrix algorithm. Must be converted to the matrix before, if the phase appeared the produce news in the form of a data matrix, the data is to apply a clustering algorithm. Scale interval (Interval-Scaled) variable
Height the produce news in meters to change the unit of measure in pounds or kilograms of weight change in the unit of measurement is used to effect Used in clustering analysis, for example, the clustering structure varies significantly. Expressed in units smaller variable when viewed normally becomes wider the range of the variable has a significant effect on the results of the clustering structure. In order to avoid the dependence of this unit of measure, such as the specific gravity should be on all the parameters by standardizing the data. This is important the produce news when there is no previous knowledge of the data in particular. But even if you want to place a larger proportion according to the analysis of a specific area in the field intentionally, for example, if there is to put more weight on the keys when clustering the volleyball players. the produce news
Absolute be less affected by the standard deviation σ f outliers than the mean deviation (mean absolute deviation) sj is. To obtain the absolute deviation mean deviation from the average is less because it does not reduce the produce news the effects of outliers is squared (| | x if -mf). Absolute deviation as the center also stronger in the scatter measurement scale has the advantage that it is easy, but not too small in absolute value than finding outliers z- score is the average deviation. the produce news
q is a positive integer, q = 1 is the Manhattan distance, q = 2, the Euclidean distance. If weighting in accordance with the recognition on the importance of each variable is weighted Euclidean distance is calculated next.
It is a unique method of binary variables only need to calculate the phase as a result of incorrect clustering is derived interval scale variables are treated as if pleading to be. Is to calculate the matrix phase is also from a given binary data One approach to achieve this. If all binary variables with the same weight you can get a 2 2 contingency table of Table 7.1. An example of a binomial (binary) variable partitioning table (contingency table) below.
You need to keep in mind the difference between the produce news asymmetric binary variables, where symmetry the produce news is. The weights are symmetric if all I have the equivalent value of each state variable is binary. In other words, it does not matter even if the display towards 0 or 1 which results. Typical example is the sex (gender) the produce news of the properties the produce news male, female condition. Even if some or all of the different technologies in the binomial variable symmetric binary variables are called the produce news similarity inconvenience this enduring results (invariant similarity) similarity. the produce news The most well-known factor to measure dissimilarity between objects j i, for the affinity constant simple coupling factor (simple matching coeeficient) is defined as follows.
Refers to non-uniform state, if a result of the number of defense is the asymmetrical. For example, will be treated as a disease, unlike critical tests positive / negative results. In general, the frequency represented by a result of this and of the small critical (such as: HIV positive), and displays to zero (for example, HIV negative) for the other. As it is often "just stars (monary) (as having the produce news one of the state) is equal to 1 because the two both (positive fit) is more important than both the 0 to (negative fit) deemed given two kinds of asymmetric binary variables considered. Also called similarity changes (noninvariant similarity) based on the similarity of those variables. The Jaccard coefficient is ignored in the calculation because it does not matter the number of pairs of the negative t is changed, best known as the similarity factor.
Refers to a variable that can take one of several values: one variable is called a template variable is a nominal variable, also known as the Killer (nominal variable) as. When the number M referred to as the state of nominal variables 1, 2, ..., can be represented by the integer M and the same set of states. Such a constant is not indicating a specific order only geotyiji used for data manipulation. In a sense, you can say itgetda Standard of only one of the values 0 and 1 of binary variables taking.
May be given a weight to keep the larger the produce news the number of matched pairs of the variable has a large number in order to increase the effect of the state m or weight. Can be coded with a binary variable of asymmetrical by applying a new binary variables M for each of the nominal state nominal variables. A binary variable that indicates the status the produce news on an object the produce news having a given state is 1, and displays the rest of the binary variables to zero. Seosuhyeong (Ordinal) variable
There are two binary sequences of the variable and the variable sequence is a continuous variable with values the produce news seosuhyeong variable sequence. the produce news Is similar to the nominal parameters, except that the M state of the value of the ordered sequence the produce news have the meaning of acid sequence variable (discrete ordinal variable) is. The grant amount can not be measured by objective and subjective variables in the sequence. For example, is listed the produce news as an assistant the produce news professor, associate professor, professor ratings, as Professor sequential order. Looks like a continuous sequential data sets in the range of unknown sequence variables (continuous ordinal variable) is. That