P-Splines Based Clustering as a General Framework: Some Applications Using Different Clustering Algorithms

2018 ◽  
pp. 183-190
Author(s):  
Carmela Iorio ◽  
Gianluca Frasso ◽  
Antonio D’Ambrosio ◽  
Roberta Siciliano
Keyword(s):  
General Framework ◽  
Clustering Algorithms

A General Framework for Understanding Compressed Subspace Clustering Algorithms

2018 ◽  
Vol 12 (6) ◽  
pp. 1504-1519 ◽  
Author(s):  
Linghang Meng ◽  
Gen Li ◽  
Jingkai Yan ◽  
Yuantao Gu
Keyword(s):  
General Framework ◽  
Clustering Algorithms ◽  
Subspace Clustering

scholarly journals User encoding for clustering in very sparse recommender systems tasks

2021 ◽  
Author(s):  
Pablo Pérez-Núnez ◽  
Jorge Díez ◽  
Oscar Luaces ◽  
Antonio Bahamonde
Keyword(s):  
Recommender Systems ◽  
Real World ◽  
General Framework ◽  
Service Providers ◽  
New Products ◽  
Clustering Algorithms ◽  
Clustering Methods ◽  
Homogeneous Groups ◽  
Feature Values ◽  
Common User

AbstractRecommender Systems are a very useful tool which let companies and service providers focus in the preferences of their customers, helping them to avoid an overwhelming variety of choices. In this context, clustering tools can play an important role to detect groups of customers with similar tastes. Thus, companies can make personalized marketing campaigns, offering to their users new products which have been consumed by other users with comparable preferences. In this paper we present a general framework to cluster users with respect to their tastes when the registers stored about the interactions between users and products are extremely scarce. Commonly, clustering methods employ the values of features describing the samples to be clustered (users in our case), but such features are not always available. We propose some alternative representations for users, in which their tastes are gathered to some extent, so that clustering algorithms can take advantage and make more homogeneous groups in this regard. To illustrate the performance of the whole framework, we tested it on six popular datasets commonly used as a benchmark for recommender systems, as well as on an extremely sparse real-world dataset that records the preferences of readers to click promoted links in digital publications. In the experimental section we compare our proposed representations to other common user encodings. We show that clustering users attending only to their feature values or to the items they have evaluated gives rise to the worst scores in terms of taste homogeneity.

Handling WSD using Hierarchical Clustering Algorithm with sentences

2018 ◽  
pp. 83-88
Author(s):  
Mohana Priya K ◽  
Pooja Ragavi S ◽  
Krishna Priya G
Keyword(s):  
Hierarchical Clustering ◽  
Similarity Measure ◽  
Clustering Algorithm ◽  
Clustering Algorithms ◽  
Cosine Similarity Measure ◽  
Hierarchical Clustering Algorithm ◽  
Multiple Levels ◽  
Pos Tagger ◽  
Sentence Clustering ◽  
The Right

Clustering is the process of grouping objects into subsets that have meaning in the context of a particular problem. It does not rely on predefined classes. It is referred to as an unsupervised learning method because no information is provided about the "right answer" for any of the objects. Many clustering algorithms have been proposed and are used based on different applications. Sentence clustering is one of best clustering technique. Hierarchical Clustering Algorithm is applied for multiple levels for accuracy. For tagging purpose POS tagger, porter stemmer is used. WordNet dictionary is utilized for determining the similarity by invoking the Jiang Conrath and Cosine similarity measure. Grouping is performed with respect to the highest similarity measure value with a mean threshold. This paper incorporates many parameters for finding similarity between words. In order to identify the disambiguated words, the sense identification is performed for the adjectives and comparison is performed. semcor and machine learning datasets are employed. On comparing with previous results for WSD, our work has improvised a lot which gives a percentage of 91.2%

Phonologically conditioned allomorphy in the morphology of Surmiran (Rumantsch)

2008 ◽  
Vol 1 (2) ◽  
pp. 109-134 ◽  
Author(s):  
Stephen R. Anderson
Keyword(s):  
Optimality Theory ◽  
General Framework ◽  
Great Majority ◽  
Historical Change ◽  
Romance Languages ◽  
Morphological Properties ◽  
Entire System ◽  
Verbal System ◽  
Extended Sense ◽  
Phonological Rule

Alternations between allomorphs that are not directly related by phonological rule, but whose selection is governed by phonological properties of the environment, have attracted the sporadic attention of phonologists and morphologists. Such phenomena are commonly limited to rather small corners of a language's structure, however, and as a result have not been a major theoretical focus. This paper examines a set of alternations in Surmiran, a Swiss Rumantsch language, that have this character and that pervade the entire system of the language. It is shown that the alternations in question, best attested in the verbal system, are not conditioned by any coherent set of morphological properties (either straightforwardly or in the extended sense of ‘morphomes’ explored in other Romance languages by Maiden). These alternations are, however, straightforwardly aligned with the location of stress in words, and an analysis is proposed within the general framework of Optimality Theory to express this. The resulting system of phonologically conditioned allomorphy turns out to include the great majority of patterning which one might be tempted to treat as productive phonology, but which has been rendered opaque (and subsequently morphologized) as a result of the working of historical change.

More's usage of Latin verbal predicates: the particular case of fio

Moreana ◽  
2019 ◽  
Vol 56 (Number 211) (1) ◽  
pp. 97-120
Author(s):  
Concepción Cabrillana
Keyword(s):  
General Framework ◽  
Medieval Latin ◽  
Lexical Semantic ◽  
Syntactic Features ◽  
Comparative Review ◽  
Poetic Text

This article addresses Thomas More's use of an especially complex Latin predicate, fio, as a means of examining the degree of classicism in this aspect of his writing. To this end, the main lexical-semantic and syntactic features of the verb in Classical Latin are presented, and a comparative review is made of More's use of the predicate—and also its use in texts contemporaneous to More, as well as in Late and Medieval Latin—in both prose and poetry. The analysis shows that he works within a general framework of classicism, although he introduces some of his own idiosyncrasies, these essentially relating to the meaning of the verb that he employs in a preferential way and to the variety of verbal forms that occur in his poetic text.

Development and destruction of the liberal prison system in Spain: a general framework for studying the topic

2019 ◽  
Vol 5 (10) ◽  
pp. 424
Author(s):  
Luis Gargallo Vaamonde
Keyword(s):  
Civil War ◽  
20Th Century ◽  
General Framework ◽  
Belief System ◽  
Prison System ◽  
Early Years ◽  
Second Republic ◽  
Social Harmony ◽  
The Government ◽  
The Individual

During the Restoration and the Second Republic, up until the outbreak of the Civil War, the prison system that was developed in Spain had a markedly liberal character. This system had begun to acquire robustness and institutional credibility from the first dec- ade of the 20th Century onwards, reaching a peak in the early years of the government of the Second Republic. This process resulted in the establishment of a penitentiary sys- tem based on the widespread and predominant values of liberalism. That liberal belief system espoused the defence of social harmony, property and the individual, and penal practices were constructed on the basis of those principles. Subsequently, the Civil War and the accompanying militarist culture altered the prison system, transforming it into an instrument at the service of the conflict, thereby wiping out the liberal agenda that had been nurtured since the mid-19th Century.

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